Papers
5
Total Citations
40
H-Index
3
About
Han Zhen-feng is a pioneering robotics researcher whose work spans disaster response, rehabilitation, and power grid automation. His key research areas include search and rescue robotics, pneumatic muscle-driven rehabilitation systems, and high-voltage maintenance robots. Han’s most impactful contribution is a modified genetic algorithm for global path planning in mine disaster scenarios, which integrates mine GIS data to enable searching robots to navigate hazardous environments—a paper that has garnered 18 citations and laid groundwork for intelligent rescue operations. He also developed a serpentine omnitread robot designed to operate in explosive gas atmospheres, addressing a critical safety gap in conventional search robots. In rehabilitation robotics, Han advanced compliant control by implementing a single neuron tuned PID controller for pneumatic-muscle-driven robots, achieving 13 citations for its novel approach to handling nonlinear actuator dynamics. More recently, he has focused on power grid maintenance, designing a high-voltage cable-stripping robot and a cascade BP neural network PID controller that automates dangerous manual tasks. His work demonstrates a consistent commitment to solving real-world safety challenges through adaptive control and bio-inspired design, making him a notable figure in field robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5