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About

Jiaping Qiang is a rising researcher in the field of mobile robotics, with a primary focus on trajectory tracking control, formation control, and path planning for wheeled and nonholonomic mobile robots. Their work addresses critical challenges in real-world robot autonomy, particularly in environments with inaccurate sensor data, rough terrain, and complex obstacles. Qiang’s most cited paper, “Formation control of nonholonomic mobile robots with inaccurate global positions and velocities” (2022, 14 citations), tackles the practical problem of leader–follower formation control when global positioning is unreliable. Building on this, their 2024 work on adaptive dual closed-loop trajectory tracking control for rough ground (13 citations) demonstrates a strong emphasis on robustness and real-world applicability. More recently, Qiang has contributed to fast path planning using Bi-Directional RRT* in maze-like environments (2023, 5 citations) and introduced a fixed-time generalized VGESO-based control approach for uneven roads (2025, 2 citations), showcasing their growing expertise in advanced control theory. With a clear trajectory toward solving fundamental issues in mobile robot navigation and coordination, Jiaping Qiang is establishing a reputation for bridging theoretical control methods with practical robotic challenges.