Ruiming Jia
Papers
2
Total Citations
21
H-Index
2
About
Ruiming Jia is a researcher specializing in advanced control systems for multi-robot coordination, with a primary focus on the formation control of wheeled mobile robots. Their major contributions lie in developing composite control strategies that synergistically combine model predictive control (MPC) with adaptive terminal sliding mode control (ATSMC) to achieve robust leader-follower formations under uncertain and disturbed environments. Jia’s most cited work, "On Composite Leader–follower Formation Control for Wheeled Mobile Robots with Adaptive Disturbance Rejection" (2019, 19 citations), introduces a novel framework that ensures both formation stability and trajectory tracking while actively rejecting disturbances—a critical challenge in real-world robotic swarms. Complementing this, their 2018 study on adaptive leader-follower formation control further advances the field by proposing a coordinated double closed-loop architecture for the leader robot, enabling simultaneous formation maintenance and precise path following. Though early in their career, Jia’s research has already laid important groundwork for resilient, decentralized multi-robot systems, making their work essential reading for students and researchers exploring autonomous ground vehicle coordination, nonlinear control theory, and human-robot teaming.
Research Focus
Key Achievements
Top Papers
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