Papers
11
Total Citations
98
H-Index
6
About
Yahao Wang is a robotics researcher specializing in intelligent robotic systems for high-voltage power distribution maintenance, with a particular focus on autonomous and teleoperated robots capable of performing hazardous live-line operations. His work addresses a critical safety challenge in electrical infrastructure: replacing human workers in dangerous high-altitude, high-voltage environments with sophisticated robotic systems. Wang's most influential contribution is his development of stereo camera-guided intelligent live-line operation robots, garnering 31 citations and establishing a foundation for autonomous power distribution maintenance. Building on this, he has advanced dual-arm robotic platforms such as the "Sky-Worker" system, which introduces dynamic authority assignment to balance autonomy with human oversight. His research consistently integrates cutting-edge control methodologies, including deep reinforcement learning-based variable impedance control for robust force tracking across unknown terrains and complex geometries, bilateral teleoperation systems, and Bayesian reinforcement learning for manipulation under sparse rewards. With over 96 total citations across publications spanning 2020 to 2025, Wang's trajectory reflects rapid growth in both scope and influence. His interdisciplinary approach—bridging computer vision, adaptive control, and human-robot interaction—positions him as an emerging leader in industrial robotics, particularly in safety-critical infrastructure applications where his work has genuine real-world significance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10