Daniel Sahu

Active Learning for Testing and Evaluation in Field Robotics: A Case Study in Autonomous, Off-Road Navigation

Testing and evaluation of field robotic systems requires both experimentation in representative conditions and human supervision to effectively assess components, manage risk, and interpret results. Due to the complexity of robotic sys-tems, we argue this experimentation should be done adaptively by…