Title :
Cellular robotic collision-free path planning
Author :
Lee, Sukhan ; Park, Jun
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
Presents a massively parallel, connectionist model for cellular robotic collision-free path planning. A number of cellular robots (represented by via points) are distributed along the initial path arbitrarily set up, and move toward the final positions to form an optimal collision-free path, following the locally defined rules. The local rules for individual cellular robots are based on the gradient of the potential field due to the polyhedral obstacles and the distances to the neighboring cellular robots. The cellular robotic path planning provides massive parallelism and has power to effectively deal with path planning of three dimensional case with translational and rotational motions. Finally, the algorithm incorporates simulated annealing to solve a local minimum problem.<>
Keywords :
path planning; robots; simulated annealing; cellular robots; collision-free path planning; local rules; optimisation; polyhedral obstacles; rotational motions; simulated annealing; translational motions; Buildings; Cost function; Data structures; Laboratories; Parallel robots; Path planning; Propulsion; Robot sensing systems; Robotics and automation; Simulated annealing;
Conference_Titel :
Advanced Robotics, 1991. 'Robots in Unstructured Environments', 91 ICAR., Fifth International Conference on
Conference_Location :
Pisa, Italy
Print_ISBN :
0-7803-0078-5
DOI :
10.1109/ICAR.1991.240597