Yanchun Cheng

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About

Yanchun Cheng is a robotics researcher whose work focuses on bridging the gap between theoretical trajectory optimization and real-world industrial robot performance. Her primary research areas include time-optimal trajectory planning, robot dynamics, and motion control under physical constraints. Cheng’s most notable contribution addresses a critical limitation in industrial robotics: while most trajectory planning methods optimize for speed under kinematic constraints, they often ignore the motor’s maximum driving capability, leading to overrun alarms and reduced efficiency. Her 2020 paper, “Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot,” proposes a novel approach that integrates dynamic constraints—such as torque and actuator limits—directly into the optimization process. This work ensures that planned trajectories are not only fast but also physically executable, improving both safety and productivity in automated manufacturing. Although still early in her career with 2 citations on this key paper, Cheng’s research has practical implications for reducing cycle times and preventing mechanical stress in robotic systems, marking her as a promising voice in the field of industrial robot motion planning.