Papers
91
Total Citations
3,144
H-Index
31
About
Yuanqing Xia is a prominent researcher whose work sits at the intersection of robotics, control systems, and intelligent automation. His scholarship spans several interconnected domains, including model predictive control (MPC), multi-robot coordination, teleoperation, and path planning — areas where he has made sustained and influential contributions over more than a decade. Among his most celebrated achievements is his development of advanced MPC frameworks for tracking and disturbance rejection in mobile robots and manipulators. His event-based and robust MPC schemes, each accumulating over 130–150 citations, introduced elegant solutions to the persistent challenges of constrained inputs and real-world disturbances. His 2021 work on improved artificial potential field methods for multi-UAV formation control has already garnered 378 citations, reflecting its rapid adoption by the robotics community. Xia has also pushed boundaries in teleoperation, addressing networked multilateral systems with fuzzy and neural network-based controllers that gracefully handle delays and kinematic uncertainties. More recently, his SE-ResUNet grasp detection framework (144 citations) demonstrates his expanding reach into deep learning for robotic perception. With over 1,500 cumulative citations across his top works, Xia's research continues to shape the future of intelligent, robust robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust MPC for tracking constrained unicycle robots with additive disturbances159 citations · 2018
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- 4Disturbance Rejection MPC for Tracking of Wheeled Mobile Robot149 citations · 2017
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- 6SE-ResUNet: A Novel Robotic Grasp Detection Method144 citations · 2022
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