Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real

Ahn Michael
Ahn Michael
Ponte Hugo
Ponte Hugo
Kumar Vikash
Kumar Vikash

CoRL, pp. 110-121, 2019.

Cited by: 0|Bibtex|Views16
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Other Links: arxiv.org|dblp.uni-trier.de

Abstract:

Manipulation and locomotion are closely related problems that are often studied in isolation. In this work, we study the problem of coordinating multiple mobile agents to exhibit manipulation behaviors using a reinforcement learning (RL) approach. Our method hinges on the use of hierarchical sim2real -- a simulated environment is used t...More

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