Yu-Chieh Kung

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Yu-Chieh Kung is a leading researcher in swarm robotics and cyber-physical systems (CPS), with a focus on bio-inspired optimization and distributed control. His major contributions lie in developing hybrid artificial intelligence algorithms that enable multirobot systems to achieve coordinated, collision-free formation control in dynamic environments. In his highly cited 2019 work (50 citations), Kung pioneered a networked multirobot CPS that integrates artificial immune system (AIS) algorithms with fuzzy logic optimization, creating a robust framework for embedded mobile robots to self-organize without centralized supervision. Expanding on this, his 2019 paper (21 citations) introduced a novel collision-free fuzzy formation control strategy for swarm robotic CPS, leveraging a robust orthogonal firefly algorithm (OFA) that fuses the Taguchi method with ranking mutation processes. This work significantly enhances the safety and efficiency of robot swarms operating in constrained spaces. Kung’s research is notable for bridging theoretical bio-inspired computation with practical CPS implementation, offering scalable solutions for applications in search-and-rescue, environmental monitoring, and autonomous manufacturing. His work continues to influence the next generation of intelligent, decentralized robotic systems.