- See Also
-
Links
- “Learning Humanoid Locomotion With Transformers”, Et Al 2023
- “MimicPlay: Long-Horizon Imitation Learning by Watching Human Play”, Et Al 2023
- “Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula”, Et Al 2022
- “Token Turing Machines”, Et Al 2022
- “Legged Locomotion in Challenging Terrains Using Egocentric Vision”, Et Al 2022
- “Creating a Dynamic Quadrupedal Robotic Goalkeeper With Reinforcement Learning”, Et Al 2022
- “DALL·E-Bot: Introducing Web-Scale Diffusion Models to Robotics”, Et Al 2022
- “Selective Neutralization and Deterring of Cockroaches With Laser Automated by Machine Vision”, Et Al 2022
- “Versatile Articulated Aerial Robot DRAGON: Aerial Manipulation and Grasping by Vectorable Thrust Control”, Et Al 2022
- “LaTTe: Language Trajectory TransformEr”, Et Al 2022
- “PI-ARS: Accelerating Evolution-Learned Visual-Locomotion With Predictive Information Representations”, Et Al 2022
- “Semantic Abstraction (SemAbs): Open-World 3D Scene Understanding from 2D Vision-Language Models”, 2022
- “Inner Monologue: Embodied Reasoning through Planning With Language Models”, Et Al 2022
- “LM-Nav: Robotic Navigation With Large Pre-Trained Models of Language, Vision, and Action”, Et Al 2022
- “Watch and Match: Supercharging Imitation With Regularized Optimal Transport”, Et Al 2022
- “Fleet-DAgger: Interactive Robot Fleet Learning With Scalable Human Supervision”, Et Al 2022
- “DayDreamer: World Models for Physical Robot Learning”, Et Al 2022
- “ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts”, Et Al 2022
- “Housekeep: Tidying Virtual Households Using Commonsense Reasoning”, Et Al 2022
- “Gato: A Generalist Agent”, Et Al 2022
- “Rapid Locomotion via Reinforcement Learning”, Et Al 2022
- “Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?”, Et Al 2022
- “Semantic Exploration from Language Abstractions and Pretrained Representations”, Et Al 2022
- “Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale”, Et Al 2022
- “Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning”, Et Al 2022
- “Do As I Can, Not As I Say (SayCan): Grounding Language in Robotic Affordances”, Et Al 2022
- “Socratic Models: Composing Zero-Shot Multimodal Reasoning With Language”, Et Al 2022
- “CLIP on Wheels (CoW): Zero-Shot Object Navigation As Object Localization and Exploration”, Et Al 2022
- “SURF: Semi-supervised Reward Learning With Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning”, Et Al 2022
- “Robot Peels Banana With Goal-conditioned Dual-action Deep Imitation Learning”, Et Al 2022
- “The Unsurprising Effectiveness of Pre-Trained Vision Models for Control”, Et Al 2022
- “VAPO: Affordance Learning from Play for Sample-Efficient Policy Learning”, Borja- Et Al 2022
- “Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion”, Et Al 2022
- “LID: Pre-Trained Language Models for Interactive Decision-Making”, Et Al 2022
- “Accelerated Quality-Diversity for Robotics through Massive Parallelism”, Et Al 2022
- “Surprisingly Robust In-Hand Manipulation: An Empirical Study”, Et Al 2022
- “Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots”, Et Al 2022
- “Learning Robust Perceptive Locomotion for Quadrupedal Robots in the Wild”, Et Al 2022
- “Language Models As Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents”, Et Al 2022
- “Robots and Firm Investment”, 2022
- “Simple but Effective: CLIP Embeddings for Embodied AI”, Et Al 2021
- “AW-Opt: Learning Robotic Skills With Imitation and Reinforcement at Scale”, Et Al 2021
- “Learning Behaviors through Physics-driven Latent Imagination”, Et Al 2021
- “BC-Z: Zero-Shot Task Generalization With Robotic Imitation Learning”, Et Al 2021
- “Discovering and Achieving Goals via World Models”, Et Al 2021
- “Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes”, Et Al 2021
- “Legged Robots That Keep on Learning: Fine-Tuning Locomotion Policies in the Real World”, Et Al 2021
- “Skill Induction and Planning With Latent Language”, Et Al 2021
- “Bridge Data: Boosting Generalization of Robotic Skills With Cross-Domain Datasets”, Et Al 2021
- “CLIPort: What and Where Pathways for Robotic Manipulation”, Et Al 2021
- “Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning”, Et Al 2021
- “Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation”, Et Al 2021
- “Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning”, Et Al 2021
- “On the Opportunities and Risks of Foundation Models”, Et Al 2021
- “DexMV: Imitation Learning for Dexterous Manipulation from Human Videos”, Et Al 2021
- “Language Grounding With 3D Objects”, Et Al 2021
- “Time-optimal Planning for Quadrotor Waypoint Flight”, Et Al 2021
- “RMA: Rapid Motor Adaptation for Legged Robots”, Et Al 2021
- “Learning to See Before Learning to Act: Visual Pre-training for Manipulation”, Yen- Et Al 2021
- “Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation”, Et Al 2021
- “The Rise of Intelligent Matter”, Et Al 2021
- “Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments”, Et Al 2021
- “Replaying Real Life: How the Waymo Driver Avoids Fatal Human Crashes”, 2021
- “Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing”, Et Al 2021
- “Waymo Simulated Driving Behavior in Reconstructed Fatal Crashes within an Autonomous Vehicle Operating Domain”, Et Al 2021
- “Asymmetric Self-play for Automatic Goal Discovery in Robotic Manipulation”, OpenAI Et Al 2021
- “Go-Explore: First Return, Then Explore”, Et Al 2021
- “Unlocking Pixels for Reinforcement Learning via Implicit Attention”, Et Al 2021
- “ViNG: Learning Open-World Navigation With Visual Goals”, Et Al 2020
- “Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning”, Et Al 2020
- “A Framework for Efficient Robotic Manipulation”, Et Al 2020
- “Imitating Interactive Intelligence”, Et Al 2020
- “Autonomous Navigation of Stratospheric Balloons Using Reinforcement Learning”, Et Al 2020
- “A Recurrent Vision-and-Language BERT for Navigation”, Et Al 2020
- “MoGaze: A Dataset of Full-Body Motions That Includes Workspace Geometry and Eye-Gaze”, Et Al 2020
- “The Robot Household Marathon Experiment”, Et Al 2020
- “RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, Et Al 2020
- “Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding”, Et Al 2020
- “MELD: Meta-Reinforcement Learning from Images via Latent State Models”, Et Al 2020
- “Guys and Dolls”, 2020
- “DreamerV2: Mastering Atari With Discrete World Models”, Et Al 2020
- “An Adaptive Deep Reinforcement Learning Framework Enables Curling Robots With Human-like Performance in Real-world Conditions”, Et Al 2020
- “Meta-Learning through Hebbian Plasticity in Random Networks”, 2020
- “Dm_control: Software and Tasks for Continuous Control”, Et Al 2020
- “Sample Factory: Egocentric 3D Control from Pixels at 100,000 FPS With Asynchronous Reinforcement Learning”, Et Al 2020
- “Active Preference-Based Gaussian Process Regression for Reward Learning”, Et Al 2020
- “VLN-BERT: Improving Vision-and-Language Navigation With Image-Text Pairs from the Web”, Et Al 2020
- “AI-Powered Rat Could Be a Valuable New Tool for Neuroscience: Researchers from DeepMind and Harvard Are Using a Virtual Rat to See What Neural Networks Can Teach Us about Biology”, 2020
- “First Return, Then Explore”, Et Al 2020
- “Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning”, Et Al 2020
- “Learning Agile Robotic Locomotion Skills by Imitating Animals”, Et Al 2020
- “Learning to Fly via Deep Model-Based Reinforcement Learning”, Becker- Et Al 2020
- “Deep Neuroethology of a Virtual Rodent”, Et Al 2020
- “Learning to Walk in the Real World With Minimal Human Effort”, Et Al 2020
- “In the 1970s, the CIA Created a Robot Dragonfly Spy. Now We Know How It Works. Newly Released Documents Show How the CIA Created One of the World’s First Examples of Insect Robotics.”, 2020
- “The Messy, Secretive Reality behind OpenAI’s Bid to save the World: The AI Moonshot Was Founded in the Spirit of Transparency. This Is the inside Story of How Competitive Pressure Eroded That Idealism”, 2020
- “AI Helps Warehouse Robots Pick Up New Tricks: Backed by Machine Learning Luminaries, Covariant.ai’s Bots Can Handle Jobs Previously Needing a Human Touch”, 2020
- “First-in-human Evaluation of a Hand-held Automated Venipuncture Device for Rapid Venous Blood Draws”, Et Al 2020
- “Near-perfect Point-goal Navigation from 2.5 Billion Frames of Experience”, 2020
- “Reinforcement Learning Upside Down: Don’t Predict Rewards—Just Map Them to Actions”, 2019
- “Increasing Generality in Machine Learning through Procedural Content Generation”, 2019
- “SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms”, Et Al 2019
- “Scaling Robot Supervision to Hundreds of Hours With RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity”, Et Al 2019
- “DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames”, Et Al 2019
- “Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning”, Et Al 2019
- “Solving Rubik’s Cube With a Robot Hand”, OpenAI Et Al 2019
- “Solving Rubik’s Cube With a Robot Hand [blog]”, OpenAI 2019
- “ROBEL: Robotics Benchmarks for Learning With Low-Cost Robots”, Et Al 2019
- “Learning to Seek: Autonomous Source Seeking With Deep Reinforcement Learning Onboard a Nano Drone Microcontroller”, Et Al 2019
- “TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer”, Et Al 2019
- “The Robot Revolution: Managerial and Employment Consequences for Firms”, Et Al 2019
- “An Application of Reinforcement Learning to Aerobatic Helicopter Flight”, Et Al 2019
- “AI-GAs: AI-generating Algorithms, an Alternate Paradigm for Producing General Artificial Intelligence”, 2019
- “Adversarial Policies: Attacking Deep Reinforcement Learning”, Et Al 2019
- “End-to-End Robotic Reinforcement Learning without Reward Engineering”, Et Al 2019
- “Habitat: A Platform for Embodied AI Research”, Et Al 2019
- “Long-Range Indoor Navigation With PRM-RL”, Et Al 2019
- “Learning Agile and Dynamic Motor Skills for Legged Robots”, Et Al 2019
- “The RobotriX: An EXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences With Robot Trajectories and Interactions”, Garcia- Et Al 2019
- “Living With Harmony: A Personal Companion System by Realbotix™”, Et Al 2019
- “Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks”, Et Al 2018
- “ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst”, Et Al 2018
- “Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control”, Et Al 2018
- “An Introduction to Deep Reinforcement Learning”, Francois- Et Al 2018
- “Organic Synthesis in a Modular Robotic System Driven by a Chemical Programming Language”, Et Al 2018
- “Neural Probabilistic Motor Primitives for Humanoid Control”, Et Al 2018
- “Deep Reinforcement Learning”, 2018
- “Learning Navigation Behaviors End-to-End With AutoRL”, Et Al 2018
- “Benchmarking Reinforcement Learning Algorithms on Real-World Robots”, Et Al 2018
- “Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios”, Et Al 2018
- “Learning Dexterous In-Hand Manipulation”, OpenAI Et Al 2018
- “Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias”, Et Al 2018
- “Visual Reinforcement Learning With Imagined Goals”, Et Al 2018
- “ARPA and SCI: Surfing AI”, 2018
- “QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation”, Et Al 2018
- “Adversarial Active Exploration for Inverse Dynamics Model Learning”, Et Al 2018
- “More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch”, Et Al 2018
- “Learning Real-World Robot Policies by Dreaming”, Et Al 2018
- “Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Et Al 2018
- “One Big Net For Everything”, 2018
- “One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning”, Et Al 2018
- “Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction”, Et Al 2017
- “The Signature of Robot Action Success in EEG Signals of a Human Observer: Decoding and Visualization Using Deep Convolutional Neural Networks”, Et Al 2017
- “Sim-to-Real Transfer of Robotic Control With Dynamics Randomization”, Et Al 2017
- “Flow: A Modular Learning Framework for Mixed Autonomy Traffic”, Et Al 2017
- “PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning”, Et Al 2017
- “Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, Et Al 2017
- “Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics”, 2017
- “One-Shot Visual Imitation Learning via Meta-Learning”, Et Al 2017
- “Brain Responses During Robot-Error Observation”, Et Al 2017
- “Deep Learning in Robotics: A Review of Recent Research”, 2017
- “Proximal Policy Optimization Algorithms”, Et Al 2017
- “The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously”, Et Al 2017
- “Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, Et Al 2017
- “Semi-Supervised Haptic Material Recognition for Robots Using Generative Adversarial Networks”, Et Al 2017
- “Deep Q-learning from Demonstrations”, Et Al 2017
- “Data-efficient Deep Reinforcement Learning for Dexterous Manipulation”, Et Al 2017
- “One-Shot Imitation Learning”, Et Al 2017
- “Black-Box Data-efficient Policy Search for Robotics”, Et Al 2017
- “Enabling Robots to Communicate Their Objectives”, Et Al 2017
- “Sim-to-Real Robot Learning from Pixels With Progressive Nets”, Et Al 2016
- “Supervision via Competition: Robot Adversaries for Learning Tasks”, Et Al 2016
- “Deep Visual Foresight for Planning Robot Motion”, 2016
- “Deep Reinforcement Learning for Robotic Manipulation With Asynchronous Off-Policy Updates”, Et Al 2016
- “Target-driven Visual Navigation in Indoor Scenes Using Deep Reinforcement Learning”, Et Al 2016
- “Learning Hand-Eye Coordination for Robotic Grasping With Deep Learning and Large-Scale Data Collection”, Et Al 2016
- “Optimization-based Locomotion Planning, Estimation, and Control Design for the Atlas Humanoid Robot”, Et Al 2015
- “End-to-End Training of Deep Visuomotor Policies”, Et Al 2015
- “An Invitation to Imitation”, 2015
- “Gaussian Processes for Data-Efficient Learning in Robotics and Control”, Et Al 2015
- “PILCO: A Model-Based and Data-Efficient Approach to Policy Search”, 2011
- “Motion Planning for Dynamic Folding of a Cloth With Two High-Speed Robot Hands and Two High-Speed Sliders”, Et Al 2011
- “Motion Planning for Dynamic Knotting of a Flexible Rope With a High-speed Robot Arm”, Et Al 2010
- “Robot Predictions Evolution”, 2004
- “Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli”, Et Al 1999
- “When Will Computer Hardware Match the Human Brain?”, 1998
- “How Robots Can Acquire New Skills from Their Shared Experience”
- “Learning Dexterity”
- “Scale: The Data Platform for AI; High Quality Training and Validation Data for AI Applications”, AI 2023
- “Forget about Drones, Forget about Dystopian Sci-fi—a Terrifying New Generation of Autonomous Weapons Is Already Here. Meet the Small Band of Dedicated Optimists Battling Nefarious Governments and Bureaucratic Tedium to Stop the Proliferation of Killer Robots And, Just Maybe, save Humanity from Itself.”
- “Learning to Write Programs That Generate Images”
- “Japan Nuclear Plant Gets Help from US Robots: Obama Administration Sends Shipment of Robots to Help Regain Control over Stricken Fukushima Nuclear Plant”
- “The Robots Are Coming for Garment Workers. That’s Good for the U.S., Bad for Poor Countries: Automation Is Reaching into Trades That Once Seemed Immune, Transforming Sweatshops in Places like Bangladesh and Bringing Production back to America”
- “48:44—Tesla Vision · 1:13:12—Planning and Control · 1:24:35—Manual Labeling · 1:28:11—Auto Labeling · 1:35:15—Simulation · 1:42:10—Hardware Integration · 1:45:40—Dojo”
- “Robot Peels Banana With Deep Learning, UT ISI Lab”
- “Learning Robust Perceptive Locomotion for Quadrupedal Robots in the Wild [video]”
- “Supplementary Video for Do As I Can, Not As I Say: Grounding Language in Robotic Affordances”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“Learning Humanoid Locomotion With Transformers”, Et Al 2023
“Learning Humanoid Locomotion with Transformers”, 2023-03-06 (; similar)
“MimicPlay: Long-Horizon Imitation Learning by Watching Human Play”, Et Al 2023
“MimicPlay: Long-Horizon Imitation Learning by Watching Human Play”, 2023-02-24 (; similar)
“Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula”, Et Al 2022
“Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula”, 2022-12-02 (; similar)
“Token Turing Machines”, Et Al 2022
“Token Turing Machines”, 2022-11-16 (; similar)
“Legged Locomotion in Challenging Terrains Using Egocentric Vision”, Et Al 2022
“Legged Locomotion in Challenging Terrains using Egocentric Vision”, 2022-11-14 (; similar; bibliography)
“Creating a Dynamic Quadrupedal Robotic Goalkeeper With Reinforcement Learning”, Et Al 2022
“Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning”, 2022-10-10 (; similar)
“DALL·E-Bot: Introducing Web-Scale Diffusion Models to Robotics”, Et Al 2022
“DALL·E-Bot: Introducing Web-Scale Diffusion Models to Robotics”, 2022-10-05 (; similar)
“Selective Neutralization and Deterring of Cockroaches With Laser Automated by Machine Vision”, Et Al 2022
“Selective neutralization and deterring of cockroaches with laser automated by machine vision”, 2022-09-21 (; similar; bibliography)
“Versatile Articulated Aerial Robot DRAGON: Aerial Manipulation and Grasping by Vectorable Thrust Control”, Et Al 2022
“Versatile articulated aerial robot DRAGON: Aerial manipulation and grasping by vectorable thrust control”, 2022-08-18 (similar)
“LaTTe: Language Trajectory TransformEr”, Et Al 2022
“LaTTe: Language Trajectory TransformEr”, 2022-08-04 (; similar)
“PI-ARS: Accelerating Evolution-Learned Visual-Locomotion With Predictive Information Representations”, Et Al 2022
“PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations”, 2022-07-27 (; similar)
“Semantic Abstraction (SemAbs): Open-World 3D Scene Understanding from 2D Vision-Language Models”, 2022
“Semantic Abstraction (SemAbs): Open-World 3D Scene Understanding from 2D Vision-Language Models”, 2022-07-23 (; similar)
“Inner Monologue: Embodied Reasoning through Planning With Language Models”, Et Al 2022
“Inner Monologue: Embodied Reasoning through Planning with Language Models”, 2022-07-12 (; similar; bibliography)
“LM-Nav: Robotic Navigation With Large Pre-Trained Models of Language, Vision, and Action”, Et Al 2022
“LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action”, 2022-07-10 (; backlinks; similar; bibliography)
“Watch and Match: Supercharging Imitation With Regularized Optimal Transport”, Et Al 2022
“Watch and Match: Supercharging Imitation with Regularized Optimal Transport”, 2022-06-30 (similar)
“Fleet-DAgger: Interactive Robot Fleet Learning With Scalable Human Supervision”, Et Al 2022
“Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision”, 2022-06-29 (; similar)
“DayDreamer: World Models for Physical Robot Learning”, Et Al 2022
“DayDreamer: World Models for Physical Robot Learning”, 2022-06-28 (; similar; bibliography)
“ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts”, Et Al 2022
“ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts”, 2022-05-31 (; similar)
“Housekeep: Tidying Virtual Households Using Commonsense Reasoning”, Et Al 2022
“Housekeep: Tidying Virtual Households using Commonsense Reasoning”, 2022-05-22 (; backlinks; similar)
“Gato: A Generalist Agent”, Et Al 2022
“Gato: A Generalist Agent”, 2022-05-12 (; similar; bibliography)
“Rapid Locomotion via Reinforcement Learning”, Et Al 2022
“Rapid Locomotion via Reinforcement Learning”, 2022-05-05 (similar)
“Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?”, Et Al 2022
“Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?”, 2022-04-23 (; similar)
“Semantic Exploration from Language Abstractions and Pretrained Representations”, Et Al 2022
“Semantic Exploration from Language Abstractions and Pretrained Representations”, 2022-04-08 (; similar; bibliography)
“Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale”, Et Al 2022
“Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale”, 2022-04-07 (; similar; bibliography)
“Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning”, Et Al 2022
“Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning”, 2022-04-06 (; similar)
“Do As I Can, Not As I Say (SayCan): Grounding Language in Robotic Affordances”, Et Al 2022
“Do As I Can, Not As I Say (SayCan): Grounding Language in Robotic Affordances”, 2022-04-04 (; similar; bibliography)
“Socratic Models: Composing Zero-Shot Multimodal Reasoning With Language”, Et Al 2022
“Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language”, 2022-04-01 (; similar; bibliography)
“CLIP on Wheels (CoW): Zero-Shot Object Navigation As Object Localization and Exploration”, Et Al 2022
“CLIP on Wheels (CoW): Zero-Shot Object Navigation as Object Localization and Exploration”, 2022-03-20 (; similar)
“SURF: Semi-supervised Reward Learning With Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning”, Et Al 2022
“SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning”, 2022-03-18 (; similar)
“Robot Peels Banana With Goal-conditioned Dual-action Deep Imitation Learning”, Et Al 2022
“Robot peels banana with goal-conditioned dual-action deep imitation learning”, 2022-03-18 (; similar)
“The Unsurprising Effectiveness of Pre-Trained Vision Models for Control”, Et Al 2022
“The Unsurprising Effectiveness of Pre-Trained Vision Models for Control”, 2022-03-07 (; similar)
“VAPO: Affordance Learning from Play for Sample-Efficient Policy Learning”, Borja- Et Al 2022
“VAPO: Affordance Learning from Play for Sample-Efficient Policy Learning”, 2022-03-01 (; similar)
“Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion”, Et Al 2022
“Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion”, 2022-02-11 (similar)
“LID: Pre-Trained Language Models for Interactive Decision-Making”, Et Al 2022
“LID: Pre-Trained Language Models for Interactive Decision-Making”, 2022-02-03 (; backlinks; similar)
“Accelerated Quality-Diversity for Robotics through Massive Parallelism”, Et Al 2022
“Accelerated Quality-Diversity for Robotics through Massive Parallelism”, 2022-02-02 (; backlinks; similar)
“Surprisingly Robust In-Hand Manipulation: An Empirical Study”, Et Al 2022
“Surprisingly Robust In-Hand Manipulation: An Empirical Study”, 2022-01-27 (; similar)
“Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots”, Et Al 2022
“Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots”, 2022-01-24 (; similar)
“Learning Robust Perceptive Locomotion for Quadrupedal Robots in the Wild”, Et Al 2022
“Learning robust perceptive locomotion for quadrupedal robots in the wild”, 2022-01-19 (; backlinks; similar; bibliography)
“Language Models As Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents”, Et Al 2022
“Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents”, 2022-01-18 (; similar)
“Robots and Firm Investment”, 2022
“Robots and Firm Investment”, 2022-01 (; similar)
“Simple but Effective: CLIP Embeddings for Embodied AI”, Et Al 2021
“Simple but Effective: CLIP Embeddings for Embodied AI”, 2021-11-18 (; similar)
“AW-Opt: Learning Robotic Skills With Imitation and Reinforcement at Scale”, Et Al 2021
“AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale”, 2021-11-09 (; similar)
“Learning Behaviors through Physics-driven Latent Imagination”, Et Al 2021
“Learning Behaviors through Physics-driven Latent Imagination”, 2021-11-04 (; similar)
“BC-Z: Zero-Shot Task Generalization With Robotic Imitation Learning”, Et Al 2021
“BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning”, 2021-11-04 (; similar)
“Discovering and Achieving Goals via World Models”, Et Al 2021
“Discovering and Achieving Goals via World Models”, 2021-10-18 (; similar)
“Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes”, Et Al 2021
“Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes”, 2021-10-12 (; similar)
“Legged Robots That Keep on Learning: Fine-Tuning Locomotion Policies in the Real World”, Et Al 2021
“Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World”, 2021-10-11 (backlinks; similar)
“Bridge Data: Boosting Generalization of Robotic Skills With Cross-Domain Datasets”, Et Al 2021
“Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets”, 2021-09-27 (; similar)
“CLIPort: What and Where Pathways for Robotic Manipulation”, Et Al 2021
“CLIPort: What and Where Pathways for Robotic Manipulation”, 2021-09-24 (; similar)
“Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning”, Et Al 2021
“Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning”, 2021-09-24 (; similar)
“Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation”, Et Al 2021
“Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation”, 2021-09-02 (; similar)
“Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning”, Et Al 2021
“Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning”, 2021-08-24 (; similar)
“On the Opportunities and Risks of Foundation Models”, Et Al 2021
“On the Opportunities and Risks of Foundation Models”, 2021-08-16 (; backlinks; similar; bibliography)
“DexMV: Imitation Learning for Dexterous Manipulation from Human Videos”, Et Al 2021
“DexMV: Imitation Learning for Dexterous Manipulation from Human Videos”, 2021-08-12 (similar)
“Language Grounding With 3D Objects”, Et Al 2021
“Language Grounding with 3D Objects”, 2021-07-26 (; similar)
“Time-optimal Planning for Quadrotor Waypoint Flight”, Et Al 2021
“Time-optimal planning for quadrotor waypoint flight”, 2021-07-21 (similar)
“RMA: Rapid Motor Adaptation for Legged Robots”, Et Al 2021
“RMA: Rapid Motor Adaptation for Legged Robots”, 2021-07-08 (similar)
“Learning to See Before Learning to Act: Visual Pre-training for Manipulation”, Yen- Et Al 2021
“Learning to See before Learning to Act: Visual Pre-training for Manipulation”, 2021-07-01 (similar)
“Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation”, Et Al 2021
“Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation”, 2021-06-23 (; similar)
“The Rise of Intelligent Matter”, Et Al 2021
“The rise of intelligent matter”, 2021-06-16 (; similar)
“Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments”, Et Al 2021
“Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments”, 2021-04-20 (; similar)
“Replaying Real Life: How the Waymo Driver Avoids Fatal Human Crashes”, 2021
“Replaying real life: how the Waymo Driver avoids fatal human crashes”, 2021-03-08 (; backlinks; similar; bibliography)
“Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing”, Et Al 2021
“Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing”, 2021-03-08 (; similar)
“Waymo Simulated Driving Behavior in Reconstructed Fatal Crashes within an Autonomous Vehicle Operating Domain”, Et Al 2021
“Waymo Simulated Driving Behavior in Reconstructed Fatal Crashes within an Autonomous Vehicle Operating Domain”, 2021-03-08 (; backlinks; similar)
“Asymmetric Self-play for Automatic Goal Discovery in Robotic Manipulation”, OpenAI Et Al 2021
“Asymmetric self-play for automatic goal discovery in robotic manipulation”, 2021-03-05 (; similar)
“Go-Explore: First Return, Then Explore”, Et Al 2021
“Go-Explore: First return, then explore”, 2021-02-24 (; similar; bibliography)
“Unlocking Pixels for Reinforcement Learning via Implicit Attention”, Et Al 2021
“Unlocking Pixels for Reinforcement Learning via Implicit Attention”, 2021-02-08 (; backlinks; similar)
“ViNG: Learning Open-World Navigation With Visual Goals”, Et Al 2020
“ViNG: Learning Open-World Navigation with Visual Goals”, 2020-12-17 (; backlinks; similar)
“Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning”, Et Al 2020
“Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning”, 2020-12-16 (similar)
“A Framework for Efficient Robotic Manipulation”, Et Al 2020
“A Framework for Efficient Robotic Manipulation”, 2020-12-14 (similar)
“Imitating Interactive Intelligence”, Et Al 2020
“Imitating Interactive Intelligence”, 2020-12-10 (; similar; bibliography)
“Autonomous Navigation of Stratospheric Balloons Using Reinforcement Learning”, Et Al 2020
“Autonomous navigation of stratospheric balloons using reinforcement learning”, 2020-12-02 (; similar)
“A Recurrent Vision-and-Language BERT for Navigation”, Et Al 2020
“A Recurrent Vision-and-Language BERT for Navigation”, 2020-11-26 (; similar)
“MoGaze: A Dataset of Full-Body Motions That Includes Workspace Geometry and Eye-Gaze”, Et Al 2020
“MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze”, 2020-11-23 (; similar)
“The Robot Household Marathon Experiment”, Et Al 2020
“The Robot Household Marathon Experiment”, 2020-11-19 (similar)
“RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, Et Al 2020
“RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, 2020-11-06 (; similar)
“Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding”, Et Al 2020
“Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding”, 2020-11-04 (; similar)
“MELD: Meta-Reinforcement Learning from Images via Latent State Models”, Et Al 2020
“MELD: Meta-Reinforcement Learning from Images via Latent State Models”, 2020-10-26 (; similar)
“Guys and Dolls”, 2020
“Guys and Dolls”, 2020-10-20 (; similar)
“DreamerV2: Mastering Atari With Discrete World Models”, Et Al 2020
“DreamerV2: Mastering Atari with Discrete World Models”, 2020-10-05 (similar)
“An Adaptive Deep Reinforcement Learning Framework Enables Curling Robots With Human-like Performance in Real-world Conditions”, Et Al 2020
“An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions”, 2020-09-23 (similar)
“Meta-Learning through Hebbian Plasticity in Random Networks”, 2020
“Meta-Learning through Hebbian Plasticity in Random Networks”, 2020-07-06 (; similar)
“Dm_control: Software and Tasks for Continuous Control”, Et Al 2020
“dm_control: Software and Tasks for Continuous Control”, 2020-06-22 (similar; bibliography)
“Sample Factory: Egocentric 3D Control from Pixels at 100,000 FPS With Asynchronous Reinforcement Learning”, Et Al 2020
“Sample Factory: Egocentric 3D Control from Pixels at 100,000 FPS with Asynchronous Reinforcement Learning”, 2020-06-21 (; similar)
“Active Preference-Based Gaussian Process Regression for Reward Learning”, Et Al 2020
“Active Preference-Based Gaussian Process Regression for Reward Learning”, 2020-05-06 (; similar)
“VLN-BERT: Improving Vision-and-Language Navigation With Image-Text Pairs from the Web”, Et Al 2020
“VLN-BERT: Improving Vision-and-Language Navigation with Image-Text Pairs from the Web”, 2020-04-30 (; similar)
“AI-Powered Rat Could Be a Valuable New Tool for Neuroscience: Researchers from DeepMind and Harvard Are Using a Virtual Rat to See What Neural Networks Can Teach Us about Biology”, 2020
“AI-Powered Rat Could Be a Valuable New Tool for Neuroscience: Researchers from DeepMind and Harvard are using a virtual rat to see what neural networks can teach us about biology”, 2020-04-27 (; similar)
“First Return, Then Explore”, Et Al 2020
“First return, then explore”, 2020-04-27 (; similar)
“Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning”, Et Al 2020
“Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning”, 2020-04-21 (similar)
“Learning Agile Robotic Locomotion Skills by Imitating Animals”, Et Al 2020
“Learning Agile Robotic Locomotion Skills by Imitating Animals”, 2020-04-02 (similar)
“Learning to Fly via Deep Model-Based Reinforcement Learning”, Becker- Et Al 2020
“Learning to Fly via Deep Model-Based Reinforcement Learning”, 2020-03-19 (; similar)
“Deep Neuroethology of a Virtual Rodent”, Et Al 2020
“Deep neuroethology of a virtual rodent”, 2020-03-11 (; similar; bibliography)
“Learning to Walk in the Real World With Minimal Human Effort”, Et Al 2020
“Learning to Walk in the Real World with Minimal Human Effort”, 2020-02-20 (similar)
“In the 1970s, the CIA Created a Robot Dragonfly Spy. Now We Know How It Works. Newly Released Documents Show How the CIA Created One of the World’s First Examples of Insect Robotics.”, 2020
“In the 1970s, the CIA Created a Robot Dragonfly Spy. Now We Know How It Works. Newly released documents show how the CIA created one of the world’s first examples of insect robotics.”, 2020-02-18 (; similar)
“The Messy, Secretive Reality behind OpenAI’s Bid to save the World: The AI Moonshot Was Founded in the Spirit of Transparency. This Is the inside Story of How Competitive Pressure Eroded That Idealism”, 2020
“The messy, secretive reality behind OpenAI’s bid to save the world: The AI moonshot was founded in the spirit of transparency. This is the inside story of how competitive pressure eroded that idealism”, 2020-02-17 (; backlinks; similar; bibliography)
“AI Helps Warehouse Robots Pick Up New Tricks: Backed by Machine Learning Luminaries, Covariant.ai’s Bots Can Handle Jobs Previously Needing a Human Touch”, 2020
“AI Helps Warehouse Robots Pick Up New Tricks: Backed by machine learning luminaries, Covariant.ai’s bots can handle jobs previously needing a human touch”, 2020-01-29 (; similar)
“First-in-human Evaluation of a Hand-held Automated Venipuncture Device for Rapid Venous Blood Draws”, Et Al 2020
“First-in-human evaluation of a hand-held automated venipuncture device for rapid venous blood draws”, 2020-01-22 (; similar)
“Near-perfect Point-goal Navigation from 2.5 Billion Frames of Experience”, 2020
“Near-perfect point-goal navigation from 2.5 billion frames of experience”, 2020-01-21 (; backlinks; similar)
“Reinforcement Learning Upside Down: Don’t Predict Rewards—Just Map Them to Actions”, 2019
“Reinforcement Learning Upside Down: Don’t Predict Rewards—Just Map Them to Actions”, 2019-12-05 (; similar)
“Increasing Generality in Machine Learning through Procedural Content Generation”, 2019
“Increasing Generality in Machine Learning through Procedural Content Generation”, 2019-11-29 (; similar)
“SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms”, Et Al 2019
“SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms”, 2019-11-22 (; similar)
“Scaling Robot Supervision to Hundreds of Hours With RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity”, Et Al 2019
“Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity”, 2019-11-11 (similar)
“DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames”, Et Al 2019
“DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames”, 2019-11-01 (; similar; bibliography)
“Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning”, Et Al 2019
“Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning”, 2019-10-24 (; backlinks; similar)
“Solving Rubik’s Cube With a Robot Hand”, OpenAI Et Al 2019
“Solving Rubik’s Cube with a Robot Hand”, 2019-10-16 (; similar)
“Solving Rubik’s Cube With a Robot Hand [blog]”, OpenAI 2019
“Solving Rubik’s Cube with a Robot Hand [blog]”, 2019-10-15 (; backlinks; similar)
“ROBEL: Robotics Benchmarks for Learning With Low-Cost Robots”, Et Al 2019
“ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots”, 2019-09-25 (similar)
“Learning to Seek: Autonomous Source Seeking With Deep Reinforcement Learning Onboard a Nano Drone Microcontroller”, Et Al 2019
“Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller”, 2019-09-25 (; similar)
“TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer”, Et Al 2019
“TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer”, 2019-07-25 (similar)
“The Robot Revolution: Managerial and Employment Consequences for Firms”, Et Al 2019
“The Robot Revolution: Managerial and Employment Consequences for Firms”, 2019-07-19 (; similar)
“An Application of Reinforcement Learning to Aerobatic Helicopter Flight”, Et Al 2019
“An Application of Reinforcement Learning to Aerobatic Helicopter Flight”, 2019-07-16 (; similar)
“AI-GAs: AI-generating Algorithms, an Alternate Paradigm for Producing General Artificial Intelligence”, 2019
“AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence”, 2019-05-27 (; similar)
“Adversarial Policies: Attacking Deep Reinforcement Learning”, Et Al 2019
“Adversarial Policies: Attacking Deep Reinforcement Learning”, 2019-05-25 (; similar)
“End-to-End Robotic Reinforcement Learning without Reward Engineering”, Et Al 2019
“End-to-End Robotic Reinforcement Learning without Reward Engineering”, 2019-04-16 (; similar)
“Habitat: A Platform for Embodied AI Research”, Et Al 2019
“Habitat: A Platform for Embodied AI Research”, 2019-04-02 (; similar; bibliography)
“Long-Range Indoor Navigation With PRM-RL”, Et Al 2019
“Long-Range Indoor Navigation with PRM-RL”, 2019-02-25 (similar)
“Learning Agile and Dynamic Motor Skills for Legged Robots”, Et Al 2019
“Learning agile and dynamic motor skills for legged robots”, 2019-01-24 (backlinks; similar)
“The RobotriX: An EXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences With Robot Trajectories and Interactions”, Garcia- Et Al 2019
“The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions”, 2019-01-19 (similar)
“Living With Harmony: A Personal Companion System by Realbotix™”, Et Al 2019
“Living with Harmony: A Personal Companion System by Realbotix™”, 2019 (; similar)
“Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks”, Et Al 2018
“Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks”, 2018-12-18 (similar)
“ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst”, Et Al 2018
“ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst”, 2018-12-07 (similar)
“Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control”, Et Al 2018
“Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control”, 2018-12-03 (similar)
“An Introduction to Deep Reinforcement Learning”, Francois- Et Al 2018
“An Introduction to Deep Reinforcement Learning”, 2018-11-30 (; similar)
“Organic Synthesis in a Modular Robotic System Driven by a Chemical Programming Language”, Et Al 2018
“Organic synthesis in a modular robotic system driven by a chemical programming language”, 2018-11-29 (; similar)
“Neural Probabilistic Motor Primitives for Humanoid Control”, Et Al 2018
“Neural probabilistic motor primitives for humanoid control”, 2018-11-28 (; similar)
“Deep Reinforcement Learning”, 2018
“Deep Reinforcement Learning”, 2018-10-15 (; similar)
“Learning Navigation Behaviors End-to-End With AutoRL”, Et Al 2018
“Learning Navigation Behaviors End-to-End with AutoRL”, 2018-09-26 (similar)
“Benchmarking Reinforcement Learning Algorithms on Real-World Robots”, Et Al 2018
“Benchmarking Reinforcement Learning Algorithms on Real-World Robots”, 2018-09-20 (; similar)
“Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios”, Et Al 2018
“Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios”, 2018-08-11 (; similar)
“Learning Dexterous In-Hand Manipulation”, OpenAI Et Al 2018
“Learning Dexterous In-Hand Manipulation”, 2018-08-01 (; similar)
“Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias”, Et Al 2018
“Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias”, 2018-07-18 (; similar)
“Visual Reinforcement Learning With Imagined Goals”, Et Al 2018
“Visual Reinforcement Learning with Imagined Goals”, 2018-07-12 (; similar)
“ARPA and SCI: Surfing AI”, 2018
“ARPA and SCI: Surfing AI”, 2018-07-04 (; backlinks; similar; bibliography)
“QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation”, Et Al 2018
“QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation”, 2018-06-27 (; similar)
“Adversarial Active Exploration for Inverse Dynamics Model Learning”, Et Al 2018
“Adversarial Active Exploration for Inverse Dynamics Model Learning”, 2018-06-26 (similar)
“More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch”, Et Al 2018
“More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch”, 2018-05-28 (; similar)
“Learning Real-World Robot Policies by Dreaming”, Et Al 2018
“Learning Real-World Robot Policies by Dreaming”, 2018-05-20 (similar)
“Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Et Al 2018
“Synthesizing Programs for Images using Reinforced Adversarial Learning”, 2018-04-03 (; similar; bibliography)
“One Big Net For Everything”, 2018
“One Big Net For Everything”, 2018-02-24 (; similar)
“One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning”, Et Al 2018
“One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning”, 2018-02-05 (; similar)
“Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction”, Et Al 2017
“Neural Network Based Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction”, 2017-11-18 (; similar)
“The Signature of Robot Action Success in EEG Signals of a Human Observer: Decoding and Visualization Using Deep Convolutional Neural Networks”, Et Al 2017
“The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks”, 2017-11-16 (; similar)
“Sim-to-Real Transfer of Robotic Control With Dynamics Randomization”, Et Al 2017
“Sim-to-Real Transfer of Robotic Control with Dynamics Randomization”, 2017-10-18 (similar)
“Flow: A Modular Learning Framework for Mixed Autonomy Traffic”, Et Al 2017
“Flow: A Modular Learning Framework for Mixed Autonomy Traffic”, 2017-10-16 (backlinks; similar)
“PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning”, Et Al 2017
“PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning”, 2017-10-11 (similar)
“Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, Et Al 2017
“Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, 2017-09-22 (; similar)
“Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics”, 2017
“Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics”, 2017-09-20 (similar)
“One-Shot Visual Imitation Learning via Meta-Learning”, Et Al 2017
“One-Shot Visual Imitation Learning via Meta-Learning”, 2017-09-14 (; similar)
“Brain Responses During Robot-Error Observation”, Et Al 2017
“Brain Responses During Robot-Error Observation”, 2017-08-04 (; similar)
“Deep Learning in Robotics: A Review of Recent Research”, 2017
“Deep Learning in Robotics: A Review of Recent Research”, 2017-07-22
“Proximal Policy Optimization Algorithms”, Et Al 2017
“Proximal Policy Optimization Algorithms”, 2017-07-20 (; similar)
“The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously”, Et Al 2017
“The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously”, 2017-07-11 (; similar)
“Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, Et Al 2017
“Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, 2017-07-10 (; similar)
“Semi-Supervised Haptic Material Recognition for Robots Using Generative Adversarial Networks”, Et Al 2017
“Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks”, 2017-07-10 (; similar)
“Deep Q-learning from Demonstrations”, Et Al 2017
“Deep Q-learning from Demonstrations”, 2017-04-12 (similar)
“Data-efficient Deep Reinforcement Learning for Dexterous Manipulation”, Et Al 2017
“Data-efficient Deep Reinforcement Learning for Dexterous Manipulation”, 2017-04-10 (; similar)
“One-Shot Imitation Learning”, Et Al 2017
“One-Shot Imitation Learning”, 2017-03-21 (similar)
“Black-Box Data-efficient Policy Search for Robotics”, Et Al 2017
“Black-Box Data-efficient Policy Search for Robotics”, 2017-03-21 (; similar)
“Enabling Robots to Communicate Their Objectives”, Et Al 2017
“Enabling Robots to Communicate their Objectives”, 2017-02-11 (backlinks; similar)
“Sim-to-Real Robot Learning from Pixels With Progressive Nets”, Et Al 2016
“Sim-to-Real Robot Learning from Pixels with Progressive Nets”, 2016-10-13 (similar)
“Supervision via Competition: Robot Adversaries for Learning Tasks”, Et Al 2016
“Supervision via Competition: Robot Adversaries for Learning Tasks”, 2016-10-05 (; similar)
“Deep Visual Foresight for Planning Robot Motion”, 2016
“Deep Visual Foresight for Planning Robot Motion”, 2016-10-03 (; similar)
“Deep Reinforcement Learning for Robotic Manipulation With Asynchronous Off-Policy Updates”, Et Al 2016
“Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates”, 2016-10-03 (similar)
“Target-driven Visual Navigation in Indoor Scenes Using Deep Reinforcement Learning”, Et Al 2016
“Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning”, 2016-09-16 (similar)
“Learning Hand-Eye Coordination for Robotic Grasping With Deep Learning and Large-Scale Data Collection”, Et Al 2016
“Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection”, 2016-03-07 (; similar)
“Optimization-based Locomotion Planning, Estimation, and Control Design for the Atlas Humanoid Robot”, Et Al 2015
“Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot”, 2015-07-31 (similar)
“End-to-End Training of Deep Visuomotor Policies”, Et Al 2015
“End-to-End Training of Deep Visuomotor Policies”, 2015-04-02 (; similar)
“An Invitation to Imitation”, 2015
“An Invitation to Imitation”, 2015-03-14 (; backlinks; similar)
“Gaussian Processes for Data-Efficient Learning in Robotics and Control”, Et Al 2015
“Gaussian Processes for Data-Efficient Learning in Robotics and Control”, 2015-02-10 (; similar)
“PILCO: A Model-Based and Data-Efficient Approach to Policy Search”, 2011
“PILCO: A Model-Based and Data-Efficient Approach to Policy Search”, 2011-06-01 (; backlinks; similar)
“Motion Planning for Dynamic Folding of a Cloth With Two High-Speed Robot Hands and Two High-Speed Sliders”, Et Al 2011
“Motion Planning for Dynamic Folding of a Cloth with Two High-Speed Robot Hands and Two High-Speed Sliders”, 2011-05-09 (backlinks; similar)
“Motion Planning for Dynamic Knotting of a Flexible Rope With a High-speed Robot Arm”, Et Al 2010
“Motion Planning for Dynamic Knotting of a Flexible Rope with a High-speed Robot Arm”, 2010-10-18 (backlinks; similar; bibliography)
“Robot Predictions Evolution”, 2004
“Robot Predictions Evolution”, 2004-04 (; similar; bibliography)
“Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli”, Et Al 1999
“Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli”, 1999-09-01 (; backlinks; similar)
“When Will Computer Hardware Match the Human Brain?”, 1998
“When will computer hardware match the human brain?”, 1998 (; backlinks; similar)
“Learning Dexterity”
“Scale: The Data Platform for AI; High Quality Training and Validation Data for AI Applications”, AI 2023
“Scale: The Data Platform for AI; High quality training and validation data for AI applications”, (; backlinks; similar)
“Forget about Drones, Forget about Dystopian Sci-fi—a Terrifying New Generation of Autonomous Weapons Is Already Here. Meet the Small Band of Dedicated Optimists Battling Nefarious Governments and Bureaucratic Tedium to Stop the Proliferation of Killer Robots And, Just Maybe, save Humanity from Itself.”
“Forget about drones, forget about dystopian sci-fi—a terrifying new generation of autonomous weapons is already here. Meet the small band of dedicated optimists battling nefarious governments and bureaucratic tedium to stop the proliferation of killer robots and, just maybe, save humanity from itself.” (; backlinks)
“Learning to Write Programs That Generate Images”
“Japan Nuclear Plant Gets Help from US Robots: Obama Administration Sends Shipment of Robots to Help Regain Control over Stricken Fukushima Nuclear Plant”
“The Robots Are Coming for Garment Workers. That’s Good for the U.S., Bad for Poor Countries: Automation Is Reaching into Trades That Once Seemed Immune, Transforming Sweatshops in Places like Bangladesh and Bringing Production back to America”
“48:44—Tesla Vision · 1:13:12—Planning and Control · 1:24:35—Manual Labeling · 1:28:11—Auto Labeling · 1:35:15—Simulation · 1:42:10—Hardware Integration · 1:45:40—Dojo”
“Robot Peels Banana With Deep Learning, UT ISI Lab”
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“Supplementary Video for Do As I Can, Not As I Say: Grounding Language in Robotic Affordances”
Wikipedia
Miscellaneous
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“
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https://ai.googleblog.com/2019/02/long-range-robotic-navigation-via.html -
https://ai.googleblog.com/2021/06/the-importance-of-ab-testing-in-robotics.html -
https://ai.googleblog.com/2022/02/can-robots-follow-instructions-for-new.html -
https://frc.ri.cmu.edu/~hpm/project.archive/robot.papers/1991/Universal.Robot.910618.html -
https://nitter.moomoo.me/pulkitology/status/1602707244470177792 -
https://old.reddit.com/r/reinforcementlearning/search?q=flair%3ARobot&sort=top&restrict_sr=on&t=year -
https://spectrum.ieee.org/automaton/robotics/home-robots/hello-robots-stretch-mobile-manipulator -
https://spectrum.ieee.org/hard-for-robots-autonomous-household-chores -
https://techcrunch.com/2021/07/27/robotic-ai-firm-covariant-raises-another-80-million/ -
https://www.nytimes.com/2019/03/26/technology/google-robotics-lab.html -
https://www.quantamagazine.org/ai-makes-strides-in-virtual-worlds-more-like-our-own-20220624/ -
https://www.theverge.com/2021/9/9/22660467/irobot-roomba-ai-dog-poop-avoidance-j7-specs-price -
https://www.wired.com/story/autonomous-drones-could-soon-run-the-uks-energy-grid/ -
https://www.wired.com/story/can-robots-evolve-into-machines-of-loving-grace/gw -
https://www.wired.com/story/elusive-hunt-robot-pick-ripe-strawberry/ -
https://www.wired.com/story/why-scientists-love-making-robots-build-ikea-furniture/
Link Bibliography
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https://arxiv.org/abs/2211.07638: “Legged Locomotion in Challenging Terrains Using Egocentric Vision”, Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak: -
https://www.tandfonline.com/doi/full/10.1080/00305316.2022.2121777: “Selective Neutralization and Deterring of Cockroaches With Laser Automated by Machine Vision”, Ildar Rakhmatulin, Mathieu Lihoreau, Jose Pueyo: -
https://arxiv.org/abs/2207.05608#google: “Inner Monologue: Embodied Reasoning through Planning With Language Models”, : -
https://arxiv.org/abs/2207.04429: “LM-Nav: Robotic Navigation With Large Pre-Trained Models of Language, Vision, and Action”, Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine: -
https://arxiv.org/abs/2206.14176: “DayDreamer: World Models for Physical Robot Learning”, Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel: -
https://arxiv.org/abs/2205.06175#deepmind: “Gato: A Generalist Agent”, : -
https://arxiv.org/abs/2204.05080#deepmind: “Semantic Exploration from Language Abstractions and Pretrained Representations”, : -
https://arxiv.org/abs/2204.03514#facebook: “Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale”, Ram Ramrakhya, Eric Undersander, Dhruv Batra, Abhishek Das: -
https://arxiv.org/abs/2204.01691#google: “Do As I Can, Not As I Say (SayCan): Grounding Language in Robotic Affordances”, : -
https://arxiv.org/abs/2204.00598#google: “Socratic Models: Composing Zero-Shot Multimodal Reasoning With Language”, : -
2022-miki.pdf: “Learning Robust Perceptive Locomotion for Quadrupedal Robots in the Wild”, Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter: -
https://arxiv.org/abs/2108.07258: “On the Opportunities and Risks of Foundation Models”, : -
https://blog.waymo.com/2021/03/replaying-real-life.html: “Replaying Real Life: How the Waymo Driver Avoids Fatal Human Crashes”, Waymo: -
2021-ecoffet.pdf#uber: “Go-Explore: First Return, Then Explore”, Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune: -
https://arxiv.org/abs/2012.05672#deepmind: “Imitating Interactive Intelligence”, : -
https://arxiv.org/abs/2006.12983#deepmind: “Dm_control: Software and Tasks for Continuous Control”, : -
https://openreview.net/forum?id=SyxrxR4KPS#deepmind: “Deep Neuroethology of a Virtual Rodent”, Josh Merel, Diego Aldarondo, Jesse Marshall, Yuval Tassa, Greg Wayne, Bence Olveczky (DM/Harvard): -
https://www.technologyreview.com/2020/02/17/844721/ai-openai-moonshot-elon-musk-sam-altman-greg-brockman-messy-secretive-reality/: “The Messy, Secretive Reality behind OpenAI’s Bid to save the World: The AI Moonshot Was Founded in the Spirit of Transparency. This Is the inside Story of How Competitive Pressure Eroded That Idealism”, Karen Hao: -
https://arxiv.org/abs/1911.00357#facebook: “DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames”, Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra: -
https://arxiv.org/abs/1904.01201#facebook: “Habitat: A Platform for Embodied AI Research”, : -
arpa: “ARPA and SCI: Surfing AI”, Gwern Branwen: -
https://arxiv.org/abs/1804.01118#deepmind: “Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals: -
2010-yamakawa.pdf: “Motion Planning for Dynamic Knotting of a Flexible Rope With a High-speed Robot Arm”, Yuji Yamakawa, Akio Namiki, Masatoshi Ishikawa: -
https://www.frc.ri.cmu.edu/~hpm/project.archive/robot.papers/2004/Predictions.html: “Robot Predictions Evolution”, Hans Moravec: