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05/25/2023
Imitating Task and Motion Planning with Visuomotor Transformers
Imitation learning is a powerful tool for training robot manipulation po...
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05/25/2023
Voyager: An Open-Ended Embodied Agent with Large Language Models
We introduce Voyager, the first LLM-powered embodied lifelong learning a...
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01/10/2023
ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments
We present ORBIT, a unified and modular framework for robot learning pow...
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11/11/2022
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks
Solving real-world sequential manipulation tasks requires robots to have...
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10/20/2022
Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Imitation learning offers a promising path for robots to learn general-p...
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10/20/2022
MoCoDA: Model-based Counterfactual Data Augmentation
The number of states in a dynamic process is exponential in the number o...
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06/17/2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Autonomous agents have made great strides in specialist domains like Ata...
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12/09/2021
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation
In mobile manipulation (MM), robots can both navigate within and interac...
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07/06/2021
Learning Latent Actions to Control Assistive Robots
Assistive robot arms enable people with disabilities to conduct everyday...
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12/12/2020
Learning Multi-Arm Manipulation Through Collaborative Teleoperation
Imitation Learning (IL) is a powerful paradigm to teach robots to perfor...
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12/12/2020
Human-in-the-Loop Imitation Learning using Remote Teleoperation
Imitation Learning is a promising paradigm for learning complex robot ma...
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11/17/2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future
Planning in realistic environments requires searching in large planning ...
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09/25/2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite is a simulation framework for robot learning powered by the Mu...
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03/13/2020
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Imitation learning is an effective and safe technique to train robot pol...
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11/13/2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
Learning from offline task demonstrations is a problem of great interest...
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11/11/2019
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity
Large, richly annotated datasets have accelerated progress in fields suc...
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09/20/2019
Controlling Assistive Robots with Learned Latent Actions
Assistive robots enable users with disabilities to perform everyday task...
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09/09/2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
The exploration mechanism used by a Deep Reinforcement Learning (RL) age...
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11/07/2018
