Jialin Ji

Huzhou University, State Key Laboratory of Industrial Control Technology

Papers

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About

Jialin Ji is a rising researcher in robotics and autonomous systems, whose work focuses on real-time motion planning and spatial reasoning for agile robots. His key research areas include trajectory optimization for aerial manipulation and efficient geometric computation for obstacle-free navigation. Ji’s most cited paper, “Real-Time Trajectory Planning for Aerial Perching” (2022, 36 citations), introduces a novel method that adaptively adjusts terminal states and trajectory durations—a significant departure from prior fixed-parameter approaches—enabling drones to perch with minimized tangential relative speed. This work directly addresses the challenge of high-speed, precision landing in cluttered environments. More recently, Ji contributed “Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex Regions of Obstacle-Free Space” (2025, 10 citations), which tackles the longstanding trade-off between output quality and computational efficiency in generating convex polytopes for safe navigation. By balancing compact representation with real-time performance, his method enhances the practicality of convex decomposition for drones and ground robots. Ji’s contributions are particularly notable for their immediate applicability to field robotics, where adaptive, fast, and safe planning is critical. His work is already shaping how researchers approach aerial perching and obstacle avoidance in dynamic environments.