Title :
Physicomimetics for Mobile Robot Obstacle Avoidance
Author :
Hettiarachchi, Suranga ; Spears, William M.
Author_Institution :
Indiana Univ. Southeast, New Albany, IN, USA
Abstract :
The ability of robots to promptly avoid obstacles and reach a goal while accurately maintaining a formation is extremely important for many swarm robotic tasks such as terrain analysis, search and rescue, and chemical plume source tracing. In prior work, using simulation, we established how Physicomimetics can be used to maintain swarms of mobile robots in formations that move towards a goal through an obstacle field. In this paper, we demonstrate the obstacle avoidance capability of Physicomimetics control algorithm using two different mobile robot platforms with limited hardware, Maxelbot and X80Pro.
Keywords :
collision avoidance; mobile robots; multi-robot systems; Maxelbot; X80Pro; chemical plume source tracing; mobile robot; obstacle avoidance; physicomimetics control algorithm; search and rescue; swarm robotic task; terrain analysis; Algorithm design and analysis; Collision avoidance; Force; Mobile robots; Robot sensing systems; Obstacle Avoidance; Physicomimetics;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-2120-4
DOI :
10.1109/SNPD.2012.136