Chi Xu

Ministry of Education of the People's Republic of China, China University of Geosciences

Papers

Total Citations

H-Index

About

Chi Xu is a researcher whose work spans computer vision, robotics, and human-robot interaction, with particular expertise in 6D pose estimation and rehabilitation robotics. His most impactful contributions lie in advancing the understanding and application of object pose estimation: his 2020 paper on 6DoF pose estimation of transparent objects from single RGB-D images (25 citations) addresses one of the field's most technically demanding challenges, as the optical complexity of transparent surfaces confounds conventional methods. Complementing this, his comprehensive survey on 6D pose estimation of rigid objects (21 citations) has served as a valuable reference for researchers entering this rapidly expanding domain spanning robotics, augmented reality, and autonomous driving. Beyond perception, Xu has made meaningful contributions to assistive and rehabilitation robotics. His work on lower-limb movement recognition using support vector machines (7 citations) and impedance control implementation for rehabilitation robots (5 citations) demonstrates a commitment to translating intelligent systems into real-world therapeutic applications. His earlier augmented reality robot teaching system further reflects a cross-disciplinary approach bridging human-computer interaction with industrial robotics. Together, Xu's body of work reveals a researcher dedicated to making robotic systems more perceptually capable, safer, and more accessible to human users.