Yishan Zeng
Papers
2
Total Citations
21
H-Index
2
About
Yishan Zeng is a robotics researcher whose work focuses on the design, control, and optimization of complex motion systems, with a particular emphasis on the Cable-driven Modular and Omnidirectional Robot (CMOR). His major contributions lie in advancing distributed architecture for motion control, enabling more scalable and responsive robotic systems. In his highly cited 2022 paper, Zeng introduced a novel distributed control framework for CMOR, which has garnered 16 citations for its practical impact on modular robotics. Building on this foundation, he developed the Dynamic Factor Particle Swarm Optimization (DFPSO) algorithm in 2023, a sophisticated method that applies pose decomposition to solve inverse kinematics challenges in cable-driven robots. This work, with 5 citations, demonstrates his ability to integrate optimization techniques with real-world robotic constraints. Zeng’s research is notable for bridging theoretical optimization and practical hardware implementation, offering efficient solutions for robots operating in constrained or dynamic environments. His achievements highlight a promising trajectory in modular and cable-driven robotics, with potential applications in industrial automation and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2