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07/18/2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning
We study the problem of learning to perform multi-stage robotic manipula...
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10/08/2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Reinforcement learning (RL) can in principle make it possible for robots...
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03/21/2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Over the past several years there has been a considerable research inves...
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05/13/2020
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
This paper introduces Action Image, a new grasp proposal representation ...
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10/24/2019
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands
To achieve a successful grasp, gripper attributes including geometry and...
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06/13/2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Connector insertion and many other tasks commonly found in modern manufa...
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03/10/2019
Domain Randomization for Active Pose Estimation
Accurate state estimation is a fundamental component of robotic control....
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03/04/2019
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Precise robotic manipulation skills are desirable in many industrial set...
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12/07/2018