Papers
2
Total Citations
22
H-Index
2
About
Xinghu Wang is a leading researcher in safety-critical control and autonomous robotics, with a focus on ensuring reliable performance in complex, dynamic environments. His work bridges theoretical advances in control theory with practical applications in quadrotor flight and robotic manipulation. Wang’s most cited paper, “Safety Barrier Certificates for Path Integral Control: Safety-Critical Control of Quadrotors” (2023, 19 citations), pioneers the integration of control barrier functions (CBF) with path integral control to provide formal safety guarantees for autonomous quadrotors. This contribution addresses a fundamental challenge in robotics—ensuring safety without sacrificing agility or performance. In related work, “Approximate Path Following Control of Robotic Manipulators: An Adaptive Dynamic Programming-based Method” (2022, 3 citations) introduces a novel adaptive dynamic programming approach to enhance transient performance in 4-DOF manipulators, enabling precise path following despite system uncertainties. Wang’s research has significant implications for real-world deployment of autonomous systems, from drones to industrial robots. His achievements underscore a commitment to developing theoretically rigorous yet practically viable solutions for safety-critical control, making him a notable figure in the growing field of autonomous robotics and control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2