Title :
A New Optimization-Based Method for Motion Planning in Dynamic Environments
Author :
Ren, Jing ; McIsaac, Kenneth A. ; Huang, Xishi
Author_Institution :
Dept. of Elec. & Comp. Eng., Western Ontario Univ., London, Ont.
Abstract :
In this paper, we present a new optimization based motion planning method for dynamic environments. Compared with the optimization method proposed by Esposito and Kumar (2002), our optimization method based on modified Newton\´s method can greatly improve the performance with very modest computation effort. To illustrate our techniques, we consider a robot team motion planning problem in a complex "maze" with obstacles of arbitrary shape. Simulation results show that robots with the new optimization method can reach the goal faster with much smoother trajectory. Finally, we proved the proposed control law is stable at all times
Keywords :
Newton method; mobile robots; multi-robot systems; optimisation; path planning; position control; stability; Newton method; control law; dynamic environment; motion planning; optimization method; robot team; Computational modeling; Control systems; Educational institutions; Mobile robots; Motion control; Motion planning; Navigation; Optimization methods; Shape; System performance; Modified Newton’s method; optimization; potentialfield;
Conference_Titel :
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
0-7803-8614-8
DOI :
10.1109/ROBIO.2004.1521769