Fuzzing Mobile Robot Environments for Fast Automated Crash Detection
Trey Woodlief,Sebastian Elbaum,Kevin Sullivan,Trey Woodlief,Sebastian Elbaum,Kevin Sullivan
Testing mobile robots is difficult and expensive, and many faults go undetected. In this work we explore whether fuzzing, an automated test input generation technique, can more quickly find failure inducing inputs in mobile robots. We developed a simple fuzzing adaptation, BASE-FUZZ, and one specialized for fuzzing mobile robots, PHYS-FUZZ. PHYS-FUZZ is unique in that it accounts for physical attr...
