Title :
Coordinated continual planning methods for cooperating rovers
Author :
Barrett, A. ; Rabideau, G. ; Estlin, T. ; Chien, S.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper uses eight evaluation metrics to compare and contrast three coordination schemes for a system that continuously plans to control collections of rovers (or spacecraft) using collective mission goals instead of goals or command sequences for each spacecraft. These schemes use a central coordinator to either (1) micromanage rovers one activity at a time, (2) assign mission goals to rovers, or (3) arbitrate mission goal auctions among rovers. A self-commanding collection of rovers would autonomously coordinate itself to satisfy high-level science and engineering goals in a changing partially understood environment-making the operation of tens or even a hundred spacecraft feasible.
Keywords :
aerospace control; aerospace robotics; heuristic programming; multi-agent systems; multi-robot systems; path planning; planetary rovers; task analysis; travelling salesman problems; autonomous coordination; central coordinator; changing partially understood environment; collective mission goals; cooperating rovers; coordinated continual planning methods; distributed autonomy; distributed planning; heuristic iterative repair; mission goals assignment; multiple TSP; performance metrics; self-commanding collection; task distribution; Aerospace engineering; Bandwidth; Control systems; Event detection; Paper technology; Propulsion; Satellites; Space technology; Space vehicles; Vibration measurement;
Conference_Titel :
Aerospace Conference, 2001, IEEE Proceedings.
Conference_Location :
Big Sky, MT, USA
Print_ISBN :
0-7803-6599-2
DOI :
10.1109/AERO.2001.931702