Shiyu Yan

Papers

Total Citations

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About

Shiyu Yan is a robotics researcher whose work centers on motion planning and control for humanoid and service robots, with a particular focus on integrating perception and manipulation in cluttered environments. Yan’s most cited paper, “Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot” (2018), addresses a fundamental challenge in robotics: enabling a robot arm to autonomously grasp a target while navigating around obstacles. By developing an obstacle avoidance planning method on the Robot Operating System (ROS) platform and leveraging the team’s custom service robot with a Unified Robot Description Format (URDF), Yan demonstrated a practical framework for real-time, collision-free motion. This work, cited 2 times, lays groundwork for more adaptive and safe human-robot interaction. Yan’s contributions extend to integrating sensing and control loops, improving the reliability of autonomous grasping in dynamic settings. For students and researchers, Yan’s research highlights the critical intersection of software architecture and hardware constraints in robotics, offering a clear example of how ROS-based planning can bridge theoretical algorithms and real-world deployment.