Hong‐Yi Chang
Papers
1
Total Citations
3
H-Index
1
About
Hong-Yi Chang is a researcher whose work lies at the intersection of robotics and intelligent control systems, with a particular focus on bipedal locomotion. His most notable contribution, the 2011 paper "Walking pattern based on simulated annealing for biped robotics," introduces a novel approach to stabilizing and controlling walking patterns in biped robots. By leveraging simulated annealing—a metaheuristic optimization algorithm—Chang proposed a methodology that dynamically adjusts gait parameters to enhance balance and energy efficiency, addressing a long-standing challenge in humanoid robotics. While his highly specialized work has garnered modest citation counts (3 citations), it represents a creative integration of optimization theory with mechanical design, offering a foundation for future studies in adaptive locomotion. Chang’s research is particularly valuable for students and engineers exploring bio-inspired robotics, as it demonstrates how computational intelligence can solve real-world stability issues. His approach underscores the potential of simulated annealing in refining robotic movement, marking him as a thoughtful contributor to the ongoing quest for more agile and autonomous bipedal systems.
Research Focus
Key Achievements
Top Papers
- 1Walking pattern based on simulated annealing for biped robotics3 citations · 2011