Papers
27
Total Citations
518
H-Index
11
About
Weiyang Lin is a robotics and automation researcher whose work spans intelligent robotic systems, autonomous manipulation, computer vision, and human-robot interaction. His research addresses some of the most persistent challenges in robotics: enabling machines to perceive, adapt, and operate with human-like dexterity in complex, real-world environments. Lin's most celebrated contribution, "Multimodal Sensors Enabled Autonomous Soft Robotic System with Self-Adaptive Manipulation" (2024, 97 citations), demonstrates his pioneering efforts to bridge the gap between human tactile intelligence and soft robotic capability. His early work on autonomous spray painting robots (2018, 62 citations) established practical frameworks for industrial robot autonomy using novel object detection and pose estimation algorithms, while his research on variable centroid trajectory tracking (2023, 60 citations) pushed the boundaries of dynamic object manipulation. Beyond manipulation, Lin has made significant contributions to medical robotics, developing an augmented reality teleoperation ultrasound system with haptic feedback (2022, 42 citations) and a foot-controlled robotic endoscope holder validated in cadaveric surgical studies (2015, 40 citations). His work on fuzzy adaptive control, visual servoing, and graph-based SLAM further reflects his breadth across foundational robotic challenges. With over 400 cumulative citations, Lin's research consistently translates theoretical innovation into tangible autonomous systems.
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