Zanyu Tang
Papers
4
Total Citations
77
H-Index
4
About
Zanyu Tang is a leading researcher in the kinematics and control of redundant robot manipulators, with a particular focus on neurodynamics-based motion planning and physical limit avoidance. Their major contributions center on the development of novel Zhang neurodynamics equivalency (ZNE) frameworks, which enable smoother, more precise kinematic control under complex constraints. Tang pioneered the first snap-layer minimum motion planning and control (MMPC) scheme for redundant robot arms, achieving superior path tracking with minimal motion (37 citations, 2024). Their refined self-motion scheme incorporating zero initial velocities and time-varying physical limits (23 citations, 2022) and velocity-layer equivalency for joint limit avoidance (12 citations, 2022) have set new standards for repetitive motion planning. Tang's work has been cited over 77 times, demonstrating significant impact in robotics and control theory. Their acceleration-layer configuration amendment schemes (2024) further extend the applicability of ZNE to constrained robot arms. Tang's research is essential reading for engineers and researchers working on redundant manipulator control, offering theoretically rigorous yet practically implementable solutions for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4