Papers
25
Total Citations
1,330
H-Index
17
About
Xinwu Liang is a prominent robotics researcher whose work spans visual servoing, adaptive control, and multi-robot formation systems. His research fundamentally addresses the challenge of controlling robots in uncertain, real-world environments—particularly when precise measurements of position, velocity, or camera parameters are unavailable. Liang's most influential contribution lies in adaptive vision-based control, where his work on soft robot manipulators operating in constrained environments (204 citations) demonstrated that robots could maintain reliable performance even when physical interactions alter their kinematic properties. His parallel investigations into uncalibrated camera-based trajectory tracking for wheeled mobile robots (98 citations) eliminated the need for costly camera calibration procedures, significantly lowering barriers to practical deployment. A defining theme across Liang's body of work is circumventing direct sensor measurements. His multiple contributions to leader-follower formation control—collectively accumulating over 450 citations—introduced observer-based frameworks enabling mobile robots to coordinate without relying on GPS or direct velocity feedback. This work has proven especially valuable for nonholonomic robot systems in GPS-denied environments. With a portfolio exceeding 1,000 total citations and consistent publication output from 2010 through 2020, Liang has established himself as a leading voice in robust adaptive robotics, offering solutions that bridge theoretical rigor with practical engineering constraints.
Research Focus
Key Achievements
Top Papers
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- 2Adaptive Vision-Based Leader–Follower Formation Control of Mobile Robots143 citations · 2016
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- 9Adaptive Visual Servoing of Contour Features63 citations · 2018
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