Weitao Wu

Zhejiang University

Papers

5

Total Citations

31

H-Index

4

About

Weitao Wu is a leading researcher in human-robot interaction and underwater robotics, with a focus on developing intuitive teleoperation systems and autonomous manipulation. His work bridges the gap between human dexterity and robotic precision, particularly in challenging underwater environments. Wu’s major contributions include an integrated vision-based system for robot arm teleoperation that leverages monocular human pose estimation, simplifying the control of heterogeneous robotic arms. He has also pioneered the design of underwater humanoid flexible manipulators controlled via data gloves, enabling more natural and accurate manipulation of marine resources. His research extends to deep reinforcement learning for flexible grasping of moving objects, enhancing robotic autonomy. With over 30 citations across his most influential papers, Wu’s impact is evident in advancing shared control and teleoperation for underwater vehicles. Notably, his work on an underwater robotic avatar represents a significant step toward immersive, human-like remote operation in aquatic settings. Wu’s innovations are vital for industries ranging from marine exploration to assistive robotics, offering practical solutions for complex, real-world tasks.

Research Focus

Key Achievements

4
H-Index
5
Papers
31
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
An integrated vision-based system for efficient robot arm teleoperation
11 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Zhejiang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago