Title :
Enabling intra-robotic capabilities adaptation using an organization-based multiagent system
Author :
Matson, Eric ; DeLoach, Scott
Author_Institution :
Dept. of Comput. & Inf. Sci., Kansas State Univ., Manhattan, KS, USA
fDate :
26 April-1 May 2004
Abstract :
In harsh or dangerous environments, robots can lose function in multiple sensors and effectors over the mission, thus reducing their overall capability. If the capabilities provided by these sensors/effectors are necessary for mission completion, having an adaptive system that can overcome these losses is critical to mission accomplishment. In this paper, we propose a solution using multiple agents, organized as a team, to give robots the ability to adapt and overcome sensor/effector loss. When a sensor/effector is lost, the team can reorganize to provide the robot highest operational utility, given its current capabilities. The robot can adapt to such losses by substituting other sets of sensors/effectors to provide the best overall capability. While the robot may operate at a lower level of effectiveness, it will be able continue its mission, if possible.
Keywords :
adaptive systems; multi-agent systems; multi-robot systems; adaptive system; intrarobotic capability; organization-based multiagent system; Adaptive systems; Animals; Fault tolerant systems; Force sensors; Humans; Multiagent systems; Orbital robotics; Reconnaissance; Robot sensing systems; Sensor systems;
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8232-3
DOI :
10.1109/ROBOT.2004.1307378