Title :
Acquiring effective knowledge of environment geometry for minimum-time control of a mobile robot
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
Abstract :
Several previous formulations of the problem of planning trajectories that make good use of the dynamics of a mobile robot with the objective of minimum-time control are considered. Some shortcomings of these formulations for practical application to an autonomous mobile robot are noted. An alternative formulation is proposed, and a solution to the problem within this formulation is described. In this approach, the initial trajectory along some route may be guaranteed safe on the basis of local information alone. On subsequent traversals of the same route, an approximation to a minimum-time trajectory is found without employing an accurate global representation of the environment
Keywords :
knowledge acquisition; mobile robots; planning (artificial intelligence); position control; dynamics; environment geometry; knowledge acquisition; minimum-time control; mobile robot; trajectory planning; Computational geometry; Mobile robots; Navigation; Path planning; Robot control; Robot kinematics; Trajectory;
Conference_Titel :
Intelligent Control, 1991., Proceedings of the 1991 IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-0106-4
DOI :
10.1109/ISIC.1991.187407