  We demonstrate how multiagent systems provide useful control techniques for
modular self-reconfigurable (metamorphic) robots. Such robots consist of many
modules that can move relative to each other, thereby changing the overall
shape of the robot to suit different tasks. Multiagent control is particularly
well-suited for tasks involving uncertain and changing environments. We
illustrate this approach through simulation experiments of Proteo, a
metamorphic robot system currently under development.

Robotics;Distributed, Parallel, and Cluster Computing;Multiagent Systems