Chen Wei

Wuhan Textile University, Beihang University, Jilin University

Papers

Total Citations

H-Index

About

Chen Wei’s research focuses on advancing robotic manipulation in challenging environments, particularly through dual-arm coordination and adaptive control strategies. His most impactful work, a 2019 study on dual-arm coordination motion control for power cable mobile robots (15 citations), addresses a critical challenge in high-voltage transmission line maintenance: mitigating the destabilizing effects of closed-chain internal forces during manipulator operations. This contribution enhances the reliability of robots performing delicate tasks in hazardous settings. Wei also explores haptic feedback for virtual environments, as seen in his 2016 paper on artificial neural network-based haptic rendering of contact with deformable bodies (2 citations), which uses FEM-inspired neural networks to simulate realistic force interactions. His latest work (2024) on adaptive trajectory compensation for large inertia robots further demonstrates his commitment to improving precision in heavy-duty automation. While his citation counts reflect a developing career, Wei’s targeted innovations in power cable robotics and haptics hold practical significance for industrial and teleoperation applications, positioning him as a researcher dedicated to bridging control theory and real-world robotic reliability.