Ning Tan
Sun Yat-sen University, National University of Singapore, Singapore University of Technology and Design, East China Normal University, South China University of Technology, Centre National de la Recherche Scientifique, Ministry of Education of the People's Republic of China, Guilin University of Electronic Technology
Papers
80
Total Citations
1,459
H-Index
23
About
Ning Tan is a prolific robotics and computational intelligence researcher whose work spans soft robotics, reconfigurable systems, continuum robot control, and neural network-based computational methods. His early contributions to zeroing neural networks (ZNN), exemplified by his highly cited 2010 work on time-varying Moore–Penrose matrix inversion (142 citations), established a strong mathematical foundation that he has since extended into practical robotic control frameworks, including data-driven and model-free motion control of continuum robots. Tan has made significant strides in self-reconfigurable robotics, developing systematic taxonomies and evaluation frameworks (84 citations) that bring much-needed rigor to a historically fragmented field. His bio-inspired Scorpio robot, a rolling-crawling platform mimicking huntsman spider locomotion, showcases his creative approach to mechanical design. In soft robotics, he pioneered flexible shaft-driven actuators and grippers capable of simultaneous grasping and in-hand manipulation. More recently, his cerebellum-inspired visual servo control for dual robotic arms demonstrates his growing interest in biologically motivated learning systems. With multiple papers exceeding 50 citations and a research portfolio bridging theory and hardware, Tan represents a uniquely versatile voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Toward a framework for robot-inclusive environments55 citations · 2016
- 6Scorpio53 citations · 2016
- 7
- 8
- 9
- 10