DocumentCode :
2701321
Title :
Kinematic analysis of periodic continuous gaits for a bio-mimetic walking robot
Author :
Asif, Umar ; Iqbal, Javaid ; Khan, M. Ajmal
Author_Institution :
Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
fYear :
2011
fDate :
1-5 Nov. 2011
Firstpage :
80
Lastpage :
85
Abstract :
This paper delivers a study on the motion analysis of a walking robot through dynamic simulation of biologically inspired walking gaits. We described a simple method of gait generation which enabled the robot to configure its pose at different orientations with adaptive leg stroke and stride lengths in our earlier work [12]. After having described a suitable gait generation method in [12], we now aim to simulate and review three different biologically inspired gaits namely, tripod gait, ripple gait and wave gait in terms of their unique leg sequential motions and kinematic characteristics. The simulation model is executed on an actual prototype robot with onboard sensors to draw a comparative analysis between the simulation and the actual system results. Finally, the paper concludes the significance of the proposed simulation setup for developing novel methods of gait generation in legged mobile robots.
Keywords :
legged locomotion; robot kinematics; sensors; adaptive leg stroke; bio-mimetic walking robot; biologically inspired walking gaits; dynamic simulation; gait generation method; kinematic analysis; kinematic characteristics; leg sequential motions; legged mobile robots; motion analysis; periodic continuous gaits; ripple gait; sensors; stride lengths; tripod gait; wave gait; Biological system modeling; Joints; Kinematics; Legged locomotion; Robot kinematics; Sensors; Hexapod Walking Gaits; Legged Locomotion; Modeling and Simulation; Motion Planning; SimMechanics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-770-2
Type :
conf
DOI :
10.1109/SSRR.2011.6106784
Filename :
6106784
Link To Document :
بازگشت