Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures
Author:
Affiliation:
1. Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai, Japan
Funder
JST, ACT-X, Japan
Innovation and Technology Commission of the HKSAR Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10091504.pdf?arnumber=10091504
Reference45 articles.
1. Robotic imitation of human assembly skills using hybrid trajectory and force learning;wang;arXiv 2103 05912,2020
2. Deep Reinforcement Learning with Gait Mode Specification for Quadrupedal Trot-Gallop Energetic Analysis
3. Combinations of muscle synergies in the construction of a natural motor behavior
4. Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task
5. Constructing Symbolic Representations for High-Level Planning
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