Cheng Yun Chung

National Yunlin University of Science and Technology

Papers

Total Citations

H-Index

About

Cheng Yun Chung is a robotics and artificial intelligence researcher whose work focuses on multi-robot systems, path planning, and intelligent algorithm optimization. His most cited paper, "Enhance A* Searching Algorithm Applying in Multiple Robot System" (2013), demonstrates a novel application of the A* search algorithm to coordinate multiple mobile robots in a Chinese chess game scenario. This work not only programmed the shortest motion paths for the robots on a grid-based chessboard but also integrated an evaluation algorithm for user interaction via mouse input. With 2 citations, this paper highlights his contribution to bridging algorithmic efficiency with real-world robotic coordination. Chung’s research is notable for its interdisciplinary approach, combining game theory, robotics, and heuristic search methods to solve complex motion planning problems. His work offers valuable insights for students and researchers interested in multi-agent systems, pathfinding optimization, and human-robot interaction, showcasing how classic algorithms can be creatively adapted for dynamic, multi-robot environments.