Papers
4
Total Citations
10
H-Index
2
About
Zhenghan Wang is a robotics researcher focused on advancing dexterous manipulation and autonomous systems for real-world applications. His primary research areas include anthropomorphic robotic hand design, teleoperation, and intelligent path planning for agricultural robotics. Wang’s major contributions center on developing the CasiaHand, a 15-degree-of-freedom tendon-driven anthropomorphic hand that balances structural complexity with functional dexterity, enabling human-like grasping and manipulation. His work on human-robot collaborative tele-grasping in cluttered environments demonstrates how shared control can reduce operator burden while improving task reliability in hazardous settings. Additionally, Wang’s multi-strategy fusion RRT-based algorithm for cherry picking path planning addresses the critical challenge of navigating dense canopies for selective harvesting, directly impacting agricultural automation. Though his papers are recent (2023–2025), they have already garnered citations, with his cherry picking study receiving 4 citations. Wang’s achievements include the design and evaluation of a highly biomimetic hand-arm system and the development of teleoperation frameworks that enhance robotic adaptability in unstructured environments. His research bridges fundamental robotics with practical deployment, offering promising solutions for both industrial and agricultural automation.
Research Focus
Key Achievements
Top Papers
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