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11/11/2021
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
Learning complex manipulation tasks in realistic, obstructed environment...
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10/24/2020
Pathfinder Discovery Networks for Neural Message Passing
In this work we propose Pathfinder Discovery Networks (PDNs), a method f...
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10/22/2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
Deep reinforcement learning (RL) agents are able to learn contact-rich m...
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09/24/2020
Learning Equality Constraints for Motion Planning on Manifolds
Constrained robot motion planning is a widely used technique to solve co...
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06/13/2020
Learning Manifolds for Sequential Motion Planning
Motion planning with constraints is an important part of many real-world...
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06/03/2020
Sampling-Based Motion Planning on Manifold Sequences
We address the problem of planning robot motions in constrained configur...
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03/05/2018
Kinematic Morphing Networks for Manipulation Skill Transfer
The transfer of a robot skill between different geometric environments i...
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01/23/2017
Identification of Unmodeled Objects from Symbolic Descriptions
Successful human-robot cooperation hinges on each agent's ability to pro...
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07/02/2013
