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04/08/2023
Pick2Place: Task-aware 6DoF Grasp Estimation via Object-Centric Perspective Affordance
The choice of a grasp plays a critical role in the success of downstream...
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03/12/2023
Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning
In a Human-in-the-Loop paradigm, a robotic agent is able to act mostly a...
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10/04/2021
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning
Controlling robotic manipulators with high-dimensional action spaces for...
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09/13/2021
UMPNet: Universal Manipulation Policy Network for Articulated Objects
We introduce the Universal Manipulation Policy Network (UMPNet) – a sing...
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11/03/2020
Learning 3D Dynamic Scene Representations for Robot Manipulation
3D scene representation for robot manipulation should capture three key ...
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08/11/2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
Deep Reinforcement Learning (RL) has shown great success in learning com...
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03/10/2020
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Recent advances in deep reinforcement learning (RL) have demonstrated it...
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10/24/2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Meta-reinforcement learning algorithms can enable robots to acquire new ...
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10/04/2018
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations
Simulation-to-real transfer is an important strategy for making reinforc...
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09/26/2018