Papers
5
Total Citations
45
H-Index
4
About
Yongsheng Cheng is a leading researcher in advanced robotics and automation, with a primary focus on motion control systems, remote handling technologies, and intelligent inspection for critical infrastructure. His most impactful work centers on the design and implementation of distributed architectures for motion control systems, as seen in his highly cited 2022 paper (16 citations), which has become a foundational reference in the field. Cheng has also pioneered novel approaches to solving redundant inverse kinematics using chaos-driven particle swarm optimization algorithms (15 citations), significantly improving the precision and efficiency of robotic manipulators. His contributions extend to the optimal design of specialized robots, including the CFETR Multipurpose Overload Robot, where he leveraged advantage posture principles to enhance performance in nuclear fusion environments (9 citations). Additionally, Cheng developed an efficient NMPC-based multi-task control toolkit for remote handling applications (4 citations), demonstrating his commitment to practical, deployable solutions. His work on intelligent infrared thermometers for transmission line UAVs, integrating multi-sensor cooperative detection, addresses critical needs in power grid maintenance. With a growing citation impact exceeding 45 total citations, Cheng’s research is shaping the future of autonomous systems in energy and industrial sectors.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5