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About

Jian Pan is a leading researcher in mobile robotics and autonomous navigation, with a focus on path planning, motion control, and cooperative manipulation. His work addresses critical challenges in enabling robots to navigate safely in dynamic environments, such as hospitals and restaurants, and to perform complex tasks like cooperative load transportation. Pan’s most cited paper, “A new path planning method of mobile robot based on adaptive dynamic firefly algorithm” (2020, 27 citations), introduces an innovative swarm intelligence approach that improves robot navigation efficiency. He further advanced motion planning in “Velocity obstacle guided motion planning method in dynamic environments” (2023, 14 citations), enhancing robot safety in crowded settings. His contributions extend to force control, as seen in “Impedance control for force tracking of a dual-arm cooperative robot based on particle swarm optimization” (2024, 12 citations), which optimizes interaction forces in dual-arm systems. Pan also developed a nonlinear model predictive tracking control method for nonholonomic wheeled mobile robots (2017, 7 citations) and explored admittance control for dual-arm platforms (2022). His recent work on distributed adaptive control for multi-robot cooperative load transportation (2025) highlights his ongoing impact. With over 60 citations, Pan’s research is foundational for advancing autonomous robotic systems in real-world applications.