Title :
Optimal Positioning Strategies for Shape Changes in Robot Teams
Author :
Spletzer, John R. ; Fierro, Rafael
Author_Institution :
Department of Computer Science & Engineering Lehigh University Bethlehem, PA 18015, USA spletzer@cse.lehigh.edu
Abstract :
In this paper, we consider the task of repositioning a formation of robots to a new shape while minimizing either the maximum distance that any robot travels, or the total distance traveled by the formation. We show that optimal solutions in SE (2) can be achieved for either metric through second-order cone programming (SOCP) techniques. For the case where the orientation of the new formation shape is fixed, we obtain optimal solutions in both R2and R3. The latter also allows for complete regulation of the formation size via constraints on the shape scale. We expect that these results will prove useful for extending the mission lives of robot formations and mobile ad-hoc networks (MANETs).
Keywords :
SOCP; Shape change; convex optimization; Ad hoc networks; Biosensors; Computer science; Mobile robots; Orbital robotics; Robot control; Robot kinematics; Robot programming; Robot sensing systems; Shape control; SOCP; Shape change; convex optimization;
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
DOI :
10.1109/ROBOT.2005.1570206