DocumentCode :
664030
Title :
Exploration of adaptive gait patterns with a reconfigurable linkage mechanism
Author :
Nansai, Shunsuke ; Rojas, Nicolas ; Elara, Mohan Rajesh ; Sosa, Ricardo
Author_Institution :
Dept. of Robot. & Mechatron., Tokyo Denki Univ., Tokyo, Japan
fYear :
2013
fDate :
3-7 Nov. 2013
Firstpage :
4661
Lastpage :
4668
Abstract :
Legged robots are able to move across irregular terrains and some can be energy efficient, but are often constrained by a limited range of gaits which can limit their locomotion capabilities considerably. This paper reports a reconfigurable design approach to robotic legged locomotion that produces a wide variety of gait cycles, opening new possibilities for innovative applications. In this paper, we present a distance-based formulation and its application to solve the position analysis problem of a standard Theo Jansen mechanism. By changing the configuration of a linkage, our objective in this study is to identify novel gait patterns of interest for a walking platform. The exemplary gait variations presented in this work demonstrate the feasibility of our approach, and considerably extend the capabilities of the original design to not only produce novel cum useful gait patterns but also to realize behaviors beyond locomotion.
Keywords :
adaptive control; couplings; gait analysis; legged locomotion; robot kinematics; adaptive gait pattern exploration; distance-based formulation; energy efficient robot; exemplary gait variations; gait cycles; innovative applications; irregular terrains; position analysis problem; reconfigurable design approach; reconfigurable linkage mechanism; robotic legged locomotion; standard Theo Jansen mechanism; walking patterns; Couplings; Foot; Legged locomotion; Robot kinematics; Standards; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
Conference_Location :
Tokyo
ISSN :
2153-0858
Type :
conf
DOI :
10.1109/IROS.2013.6697027
Filename :
6697027
Link To Document :
بازگشت