Gang Tan

Papers

Total Citations

H-Index

About

Gang Tan is a researcher at the forefront of robotic systems security and performance optimization. His work primarily focuses on the intersection of real-time robotic middleware and cyber-physical system defense, addressing critical challenges in both efficiency and safety. Tan’s major contributions include the development of ROS-SF, a framework that enhances the transparency of the Robot Operating System’s message-passing paradigm without sacrificing performance—a crucial advancement for time-sensitive robotic applications. In the domain of security, he introduced VIMU, a physics-based real-time detection and recovery system designed to counter stealthy sensor attacks on unmanned aerial vehicles (UAVs). This work is particularly significant as it addresses the growing sophistication of attacks that exploit sensor and detector characteristics to evade traditional defenses. While his citation counts are currently modest (2 and 1 respectively), these pioneering papers represent foundational work in emerging areas of robotics and security. Tan’s research is especially valuable for students and researchers interested in building more reliable and secure autonomous systems, demonstrating how performance and security can be addressed simultaneously in robotic platforms.