Papers
2
Total Citations
6
H-Index
2
About
Zhong Ming is a researcher specializing in robotics, with a particular focus on dexterous manipulation and multi-robot coordination. His work bridges bio-inspired algorithms and mechanical design to advance autonomous systems. In a 2024 study, he designed a dexterous robotic hand featuring four fully actuated fingers with 16 degrees of freedom, where each joint is independently motor-controlled for precise, flexible movement. The hand’s performance was rigorously evaluated through teleoperation, demonstrating its potential for complex tasks in remote or hazardous environments. Earlier, in 2014, Zhong introduced a bio-inspired approach to multi-robot task assignment using self-organizing maps (SOM), mimicking biological neural systems to enable efficient coordination in dynamic 3-D environments. This work integrates neural computation with swarm robotics, offering scalable solutions for real-world applications like search-and-rescue or industrial automation. Though his papers have garnered modest citation counts (3 each), their innovative integration of biology and engineering marks him as a thoughtful contributor to the field. Zhong’s research continues to inspire students and researchers interested in the intersection of mechanical design, neural networks, and robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2A bio-inspired approach to task assignment of multi-robots3 citations · 2014