Weitao Wu
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
Top Papers
- 1An integrated vision-based system for efficient robot arm teleoperation11 citations · 2020
- 2
- 3Development and Control of a Humanoid Underwater Robot5 citations · 2020
- 4Moving Object Flexible Grasping Based on Deep Reinforcement Learning4 citations · 2022
- 5Recent Progress of an Underwater Robotic Avatar3 citations · 2022