Title :
Graph search joint path planning for robot center of gravity positioning
Author :
Phipps, Cristian C. ; Johnson, David ; Minor, Mark A.
Author_Institution :
Dept. of Mech. Eng., Univ. of Utah, Salt Lake City, UT
Abstract :
Motivated toward dynamic rolling control of hybrid walking-climbing-rolling robots, this paper presents a greedy graph search method using two different metrics for purposes of joint path planning for a planar three degree of freedom hybrid mobility robot. Given an initial configuration and a desired net center of gravity location for the robot, the graph search finds joint paths that relocate the robotpsilas center of gravity to the desired position without causing its links to collide. An emphasis is placed on fast search times such that the planners may be used as part of real-time control loops for rolling mobile robots.
Keywords :
graph theory; mobile robots; motion control; path planning; position control; search problems; dynamic rolling control; graph search joint path planning; greedy graph search method; hybrid mobility robot; hybrid walking-climbing-rolling robots; real-time control loops; robot center of gravity positioning; rolling mobile robots; Approximation algorithms; Approximation methods; Cities and towns; Collision avoidance; Joints; Legged locomotion; Robots;
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
DOI :
10.1109/IROS.2008.4650762