Trajectory design and control of quadruped robot for trotting over obstacles

Young Hun Lee, Yoon Haeng Lee, Hyunyong Lee, Luong Tin Phan, Hansol Kang, Uikyum Kim, Jeongmin Jeon, Hyouk Ryeol Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

Various control strategies using trajectory planning, object recognition and learning are researched for avoiding obstacles when legged robot is walking. In this paper, designed trajectory by using Non Uniform Basis Spline (NUBS) curve and control strategy, by using proposed trajectory, to effectively overcome obstacles are presented. The trajectory designed by NUBS curve has several advantages: 1) local modification, 2) tracking velocity control for each domain, and 3) low degree trajectory with a large number of control points. The robot gets remarkable effectiveness when these advantages are used to generate the trajectory for walking and overcoming obstacles. By implementation of the proposed control strategy, quadruped robot can walk over obstacles while keeping its gait, speed and balance without collision although adjusting relatively preferable state which is more suitable position or posture of the walking robot shortly before encountering obstacles is not required. The proposed trajectory and control strategy are discussed, and performance is validated through experimental evaluations.

Original languageEnglish
Title of host publicationIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4897-4902
Number of pages6
ISBN (Electronic)9781538626825
DOIs
StatePublished - 13 Dec 2017
Event2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Duration: 24 Sep 201728 Sep 2017

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2017-September
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
Country/TerritoryCanada
CityVancouver
Period24/09/1728/09/17

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