Max Robotics — Global Service Robot Directory + US Certification

About

Zili Shao is a leading researcher in cyber-physical systems (CPS) and multi-robot coordination, with a focus on real-time control, energy optimization, and formation tracking. His most influential work includes the development of RT-ROS, a real-time ROS architecture for multi-core processors (91 citations), which addresses critical timing constraints in robotic systems. Shao has made significant contributions to energy-efficient and staying-alive path planning for mobile robots (45 and 30 citations), tackling the fundamental challenge of battery-limited operation through dynamic energy evaluation and feedback control. His research on CPS-oriented control design for networked surveillance robots (46 citations) and distributed multirobot formation and tracking in cluttered environments (23 citations) has advanced the theoretical and practical understanding of cooperative robotics under physical constraints. Notably, Shao’s experimental study comparing PID variants for pneumatic soft robots (52 citations) bridges model-free control with emerging soft robotics, demonstrating versatility across robotic domains. With over 300 total citations, his work is widely recognized for integrating real-time systems, control theory, and practical deployment, making him a key figure in enabling safe, efficient, and autonomous multi-robot operations in complex environments.