Yongming Wang

About

Yongming Wang is a robotics researcher whose work spans contact transition control, pipeline inspection, and multi-robot coordination. His most influential contribution, "Contact transition control via joint acceleration feedback" (2000, 18 citations), addresses a fundamental challenge in robotics: achieving stable and controllable transitions from free motion to constrained motion when robots interact with their environment. By employing high-bandwidth joint acceleration feedback, Wang's work dampens oscillations during contact transitions, providing a critical foundation for applications requiring precise physical interaction. Wang has also made significant practical contributions to inspection robotics, designing a pipeline inspection robot (2024, 10 citations) that adapts to various pipe diameters, and a wheel-clamping stay cable inspection robot (2023, 10 citations) featuring a four-auxiliary-two-drive wheel clamping mechanism with simplified automatic control. Additionally, his work on "Artificial coordinating field based coordinating collision avoidance" (2004, 6 citations) introduces an effective algorithm for multi-robot collision avoidance. With over 44 total citations across his most-cited works, Wang's research demonstrates a consistent focus on enabling robots to operate safely and effectively in complex, real-world environments—from industrial pipelines to multi-robot systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Contact transition control via joint acceleration feedback

   18 citations · 2000
2. 2
   Mechanism design and mechanical analysis of pipeline inspection robot

   10 citations · 2024
3. 3
   Design and implementation of the wheel-clamping stay cable inspection robot

   10 citations · 2023
4. 4
   Artificial coordinating field based coordinating collision avoidance

   6 citations · 2004

Key Collaborators

Contact & Links