Learning Diverse Skills for Local Navigation under Multi-constraint Optimality

Despite many successful applications of data-driven control in robotics, extracting meaningful diverse behaviors remains a challenge. Typically, task performance needs to be compromised in order to achieve diversity. In many scenarios, task requirements are specified as a multitude of reward terms,...

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Bibliographic Details

Published in:	2024 IEEE International Conference on Robotics and Automation (ICRA) pp. 5083 - 5089
Main Authors:	Cheng, Jin, Vlastelica, Marin, Kolev, Pavel, Li, Chenhao, Martius, Georg
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.05.2024
Subjects:	Force Navigation Optimization Quadrupedal robots Task analysis
Online Access:	Get full text
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