Heng‐Ming Tai

Papers

Total Citations

186

H-Index

About

Heng-Ming Tai is a leading researcher in robotics and intelligent systems, with a particular focus on autonomous navigation and optimization. His most influential work, "Autonomous local path planning for a mobile robot using a genetic algorithm" (2005), has garnered 186 citations and stands as a cornerstone in the field of mobile robotics. In this seminal paper, Tai introduced a genetic algorithm-based approach for local obstacle avoidance, enabling robots to not only find a valid path in a given search space but also to identify an optimal one. This contribution has been widely adopted for its effectiveness in real-time, dynamic environments, bridging the gap between theoretical optimization and practical robotic applications. Beyond this flagship work, Tai’s research spans evolutionary computation, control systems, and sensor networks, where he has consistently advanced the state of the art. His work is characterized by a pragmatic blend of algorithmic innovation and engineering application, making complex path-planning problems tractable for autonomous systems. With a career marked by high-impact publications and sustained citation influence, Tai remains a key figure for students and researchers exploring intelligent robotics and autonomous decision-making.