Papers
8
Total Citations
126
H-Index
5
About
Dr. Wenlin Yang is a leading researcher in intelligent robotics, specializing in path planning, robotic welding, and bionic amphibious systems. Their work addresses critical challenges in autonomous navigation and manufacturing, notably through an improved artificial potential field method that resolves the “local minimum” and “unreachable target” problems for amphibious robot fish—a contribution cited 47 times. Dr. Yang also advanced industrial automation with a novel four-step seam tracking technique for complex welding seams (40 citations), and developed a systematic error compensation strategy using optimized recurrent neural networks for collaborative robot dynamics (13 citations). Their comprehensive review of multi-robotic welding techniques (12 citations) has guided subsequent research. More recently, Dr. Yang has explored deep learning-based anti-interference tracking for AUV recycling, and innovated in robotic hand design by demonstrating how little finger opposition enhances grasping function. Their work on CPG-based gait control for amphibious robotic fish and genetic algorithm-optimized robot joints further showcases their versatility. With a growing citation impact and contributions spanning from underwater robotics to human-robot interaction, Dr. Yang is shaping the future of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Advances in Multi-robotic Welding Techniques: A Review12 citations · 2020
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