Shouxing Tang
Papers
1
Total Citations
23
H-Index
1
About
Shouxing Tang is a leading researcher in aerial robotics and fault-tolerant control systems, with a focus on enhancing the safety and reliability of unmanned aerial vehicles (UAVs). Their most cited work, "Adaptive fault-tolerant control of a novel ducted-fan aerial robot against partial actuator failure" (2022, 23 citations), introduces a groundbreaking control strategy that enables ducted-fan robots to maintain stable flight even when actuators partially fail—a critical advancement for real-world deployment in hazardous environments. This research bridges adaptive control theory and practical robotics, offering a robust solution to one of the most pressing challenges in UAV autonomy. Tang’s contributions have been recognized for their potential to revolutionize search-and-rescue operations, infrastructure inspection, and disaster response, where actuator reliability is paramount. By integrating adaptive algorithms with novel mechanical designs, Tang has set a new standard for resilient aerial platforms. Their work continues to inspire students and engineers exploring the intersection of control theory, robotics, and safety-critical systems, positioning them as a rising authority in the field of fault-tolerant aerial robotics.
Research Focus
Key Achievements
Top Papers
- 1