Bohan Liu

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Bohan Liu is a robotics researcher whose work centers on computer vision and robot manipulation, with a particular focus on advancing pose estimation techniques for industrial and service robots. His most influential contribution, the 2016 paper "Pose Determination of a Robot Manipulator Based on Monocular Vision," has garnered 20 citations and presents a novel approach that replaces traditional encoder-based joint angle sensing with a single fixed camera. This method simplifies robot calibration and reduces hardware costs, offering a more flexible and accessible solution for real-time pose tracking. By leveraging monocular vision, Liu's work addresses key challenges in accurate end-effector positioning without relying on complex sensor arrays, making it valuable for applications in automation and human-robot interaction. His research bridges the gap between classical kinematics and modern vision-based systems, demonstrating how cost-effective visual feedback can achieve reliable performance. Liu's contributions are particularly relevant for students and engineers seeking to integrate vision into robotic control pipelines, and his work continues to influence developments in lightweight, vision-guided manipulation systems.