Yanding Wei
Papers
8
Total Citations
140
H-Index
6
About
Yanding Wei is a robotics researcher whose work bridges the gap between bio-inspired soft robotics and intelligent human-robot collaboration. Their primary research focuses on developing advanced control systems for underwater flexible structures, particularly those actuated by macro fiber composites (MFCs), where they have pioneered dynamic hysteresis compensation and iterative learning control techniques. Wei’s most cited work (63 citations) addresses the complex challenge of controlling underwater flexible structures, while their research on fluid-structure coupled vibration of MFC-actuated caudal fins (23 citations) demonstrates significant contributions to bio-inspired underwater propulsion. In the domain of collaborative robotics, Wei has developed innovative online collision-free trajectory generation algorithms (25 citations) and dual-robot path planning systems using priority-based reward mechanisms for deep reinforcement learning. Their work extends to practical industrial applications, including autonomous 3D reconstruction for aircraft cockpit testing (12 citations) and spherical robot design with high-speed flywheels for enhanced stability and obstacle surmounting (9 citations). With recent publications in 2024 and 2025, Wei continues to advance the fields of human-robot collaboration and adaptive control systems, making their research particularly relevant for students and researchers interested in the intersection of soft robotics, intelligent control, and industrial automation.
Research Focus
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Top Papers
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