Qingwen Yu

Papers

Total Citations

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About

Qingwen Yu is a robotics researcher focused on advancing human-robot interaction and autonomous motion planning. Their work centers on developing intuitive interfaces and intelligent control systems for humanoid robots, particularly in service robotics applications. Yu's most cited paper, "Human-robot interface based on WSSS IMU sensors" (2015, 3 citations), introduces a novel interface using wireless IMU sensors to detect human palm posture in real time, enabling more natural robot control. Their subsequent work, "Target Grasping and Obstacle Avoidance Motion Planning of Humanoid Robot" (2018, 2 citations), addresses critical challenges in autonomous manipulation by developing obstacle avoidance planning methods within the ROS framework. This research contributes to safer, more adaptable service robots capable of operating in cluttered environments. Yu's work demonstrates a practical approach to bridging human intent and robotic action, with potential applications in assistive technologies and industrial automation.