Shaolei Wu
Papers
5
Total Citations
67
H-Index
5
About
Shaolei Wu is a leading researcher in the field of intelligent robotics for power distribution systems, with a primary focus on live-line operation robots. His work addresses the critical challenge of automating high-voltage, high-altitude maintenance tasks to enhance safety and efficiency. Wu’s major contributions include the development of stereo camera-guided systems for live-line work, as demonstrated in his highly cited 2023 paper (31 citations), and the integration of deep visual-guided deep reinforcement learning for multi-peg-in-hole assembly tasks (16 citations in 2024). He also pioneered the "Sky-Worker," a heterogeneous dual-arm robot with dynamic authority assignment, enabling a flexible blend of autonomous and teleoperated control for live-line working (8 citations). Wu’s research extends to bilateral teleoperation hybrid control systems (7 citations) and adaptive illumination correction methods (5 citations), showcasing his comprehensive approach to robot perception and control. With over 67 cumulative citations, his work has significantly advanced the safety and productivity of power distribution networks, making him a notable figure in robotics and energy infrastructure innovation.
Research Focus
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