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About

Jianjun Liang is a leading researcher in the field of multi-robot systems and autonomous mobile robotics, with a focus on constrained formation and tracking control. His work addresses critical challenges in tractor-trailer mobile robot teams and wheeled mobile robots, particularly in applications spanning agriculture, logistics, and transportation. Liang’s major contributions include developing adaptive control algorithms that ensure robust formation-tracking under multiple performance and feasibility constraints, such as visibility maintenance and obstacle avoidance. His most cited paper, “Adaptive Constrained Formation-Tracking Control for a Tractor-Trailer Mobile Robot Team With Multiple Constraints” (2022), has garnered 73 citations, highlighting its impact on the field. Another influential work, “Adaptive Image-Based Moving-Target Tracking Control of Wheeled Mobile Robots With Visibility Maintenance and Obstacle Avoidance” (2023, 34 citations), advances visual servoing for dynamic environments. Liang’s research is notable for integrating nonlinear and underactuated system dynamics with practical constraint-handling, making his algorithms highly applicable to real-world autonomous systems. His work on multirobot formation control (2021, 20 citations) further underscores his expertise in balancing performance and feasibility, solidifying his reputation as a key innovator in constrained robotic control.