Multi-Dimensional and Message-Guided Fuzzing for Robotic Programs in Robot Operating System

摘要

An increasing number of robotic programs are implemented based on Robot Operating System (ROS), which provides many practical tools and libraries for robot development. To improve robot reliability and security, several recent approaches apply fuzzing to ROS programs for bug detection. However, these approaches still have some main limitations, including inefficient test case generation, ineffective program feedback and weak generality/automation.