Max Robotics — Global Service Robot Directory + US Certification

About

Ruoxiang Li is a robotics and real-time systems researcher whose work bridges the gap between bio-inspired sensing, autonomous systems, and the formal timing analysis of robotic software frameworks. His early research demonstrated a flair for computer vision, most notably with FA-Harris (2019, 56 citations), a fast and asynchronous corner detection algorithm designed for event cameras — bio-inspired sensors with significant promise for dynamic robotic environments. Li subsequently pivoted toward a sustained and highly impactful body of work on the Robot Operating System (ROS 2), addressing one of the field's most pressing practical challenges: guaranteeing real-time performance in safety-critical autonomous systems. His analyses of processing chain scheduling, message synchronization timing, worst-case latency, and GPU resource management in ROS 2 have collectively accumulated over 70 citations, establishing him as a leading voice in real-time robotic middleware research. His more recent work extends these concerns to edge-assisted autonomous driving, tackling sensor fusion challenges in connected vehicle systems. With contributions spanning UAV collaborative SLAM, event-based vision, and rigorous formal system analysis, Li's research portfolio reflects a remarkably broad yet cohesive commitment to making autonomous robotic systems faster, safer, and more reliable.