Chi‐Tsun Cheng
Hong Kong Polytechnic University, RMIT University, MIT University
Papers
11
Total Citations
230
H-Index
7
About
Chi-Tsun Cheng is a leading researcher in robotics and manufacturing automation, with a primary focus on energy-efficient path planning for mobile robots and collaborative systems. His major contributions center on developing constraint-aware heuristic algorithms, such as the Z* and Dynamic Z* search algorithms, which enable robots to navigate uneven terrains while minimizing energy consumption—a critical factor for prolonged autonomous operations. His work demonstrates that shortest paths are not always optimal, fundamentally advancing how robots plan trajectories in complex environments. With over 230 citations across his top publications, Cheng’s impact is evident in both theoretical and applied domains. Notably, his 2015 paper on constraint-aware path planning has garnered 97 citations, while his 2016 work on 3D printing trajectory planning—reframing the problem as a traveling salesman challenge—has influenced additive manufacturing efficiency. More recently, he has explored the skills dilemma in collaborative robot programming (2023), addressing human-robot interaction in manufacturing. His 2025 study on digital twin calibration for robotic EDM systems further underscores his commitment to bridging simulation and real-world precision. Cheng’s research is essential reading for students and engineers seeking to optimize robot autonomy and energy use in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trajectory planning for 3D printing: A revisit to traveling salesman problem39 citations · 2016
- 3
- 4Finding energy-efficient paths on uneven terrains16 citations · 2014
- 5A 2-Dimensional ACO-Based Path Planner for Off-Line Robot Path Planning16 citations · 2013
- 6An ACO-based off-line path planner for nonholonomic mobile robots15 citations · 2014
- 7Multiobjective path planning on uneven terrains based on NAMOA10 citations · 2016
- 8
- 9
- 10