About

Yong Wang is a multidisciplinary robotics researcher whose work spans medical robotics, soft robotics, climbing robots, and agricultural automation. Over two decades, Wang has made pioneering contributions to the intersection of robotics and dentistry, developing innovative automated systems for complete denture manufacturing, dental arch generation, and precision tooth preparation using laser ablation — work that addresses longstanding challenges of human error and procedural inconsistency in prosthodontics. His 2002 paper on robotic denture manufacturing laid early groundwork in this specialized field, while subsequent studies on heat regulation during femtosecond laser tooth preparation demonstrate a commitment to clinical safety and translational impact. Beyond dental robotics, Wang has expanded into soft robotics, contributing a notable 2022 paper — his most cited, with 58 citations — on sensory soft grippers capable of learning-based object recognition and force-controlled grasping, reflecting growing engagement with intelligent manipulation systems. His research also encompasses electrostatic adhesion modeling for wall-climbing robots and deep learning-based fruit detection for agricultural harvesting, including mango and papaya recognition using YOLO-based architectures. Collectively, Wang's body of work illustrates a researcher driven by real-world application, bridging mechanical engineering, artificial intelligence, and biomedical technology.

Research Focus

Key Achievements

7
H-Index
9
Papers
193
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A Sensory Soft Robotic Gripper Capable of Learning-Based Object Recognition and Force-Controlled Grasping
58 citations · 2022
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Suzhou University of Science and Technology, Peking University, Hainan University, King University, Digital Science (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago