IEEE - Institute of Electrical and Electronics Engineers, Inc. - Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots

2013 IEEE International Conference on Robotics and Automation (ICRA)

Author(s): Seung-Joon Yi ; Byoung-Tak Zhang ; Dennis Hong ; Daniel D. Lee
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 May 2013
Conference Location: Karlsruhe, Germany
Conference Date: 6 May 2013
Page(s): 1,649 - 1,655
ISBN (Electronic): 978-1-4673-5643-5
ISBN (Paper): 978-1-4673-5641-1
ISSN (Paper): 1050-4729
DOI: 10.1109/ICRA.2013.6630791
Regular:

Bipedal humanoid robots will fall under unforeseen perturbations without active stabilization. Humans use dynamic full body behaviors in response to perturbations, and recent bipedal robot... View More

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