Robotics Commons^™

Performance Verification For Behavior-Based Robot Missions, Damian M. Lyons, Ron Arkin, Shu Jiang, Tsungming Liu, Paramesh Nirmal

Faculty Publications

Certain robot missions need to perform predictably in a physical environment that may have significant uncertainty. One approach is to leverage automatic software verification techniques to establish a performance guarantee. The addition of an environment model and uncertainty in both program and environment, however, means the state-space of a model-checking solution to the problem can be prohibitively large. An approach based on behavior-based controllers in a process-algebra framework that avoids state-space combinatorics is presented here. In this approach, verification of the robot program in the uncertain environment is reduced to a filtering problem for a Bayesian Network. Validation results are …