Changgen Kuang

Papers

Total Citations

H-Index

About

Changgen Kuang is a researcher specializing in the control and coordination of multi-robot systems, with a particular focus on nonholonomic mobile robots. His work addresses critical challenges in formation control, where multiple robots must maintain a desired geometric configuration while navigating dynamic environments. Kuang’s most-cited paper (2022, 14 citations) tackles the practical problem of formation control under inaccurate global position and velocity measurements, a significant advancement over prior work that assumed perfect sensor data. He further extends this line of research by integrating collision avoidance, designing an improved adaptive artificial potential field (IAAPF) method that dynamically adjusts repulsive forces to prevent collisions between robots and obstacles. This work is foundational for applications in autonomous swarms, warehouse logistics, and search-and-rescue operations. By addressing real-world sensor limitations and safety constraints, Kuang’s contributions bridge the gap between theoretical control algorithms and practical deployment. His research, though early in citation impact, demonstrates a clear trajectory toward robust, scalable multi-robot coordination, making him a promising voice in the field of robotics and autonomous systems.