About

Xiaolong Zhou is a robotics and computer vision researcher whose work spans human-robot interaction, autonomous systems, and intelligent visual perception. His most prominent contribution lies in robot-assisted therapy for children with autism spectrum disorders (ASDs), with his 2019 paper on supervised autonomous robotic systems — developed under the European Commission's FP7 framework — accumulating 81 citations and demonstrating meaningful clinical impact in improving social skills among ASD patients. Beyond therapeutic robotics, Zhou has made significant contributions to multi-object tracking, developing an improved Gaussian mixture probability hypothesis density (GM-PHD) tracker for video-based robotic applications, as well as attention-network-based tracking methods suited for Smart City systems. His work on fisheye camera calibration and distortion correction addresses practical challenges in wide-field robot vision, while his surface defect detection research — leveraging attention mechanisms and dilated convolutions — bridges industrial manufacturing quality control with robotic systems. Zhou has also explored power line inspection robots, gaze estimation, human motion recognition, and Siamese network-based visual tracking, reflecting a broad and applied research vision. With over 180 cumulative citations across his publications, his body of work consistently targets real-world deployment challenges in intelligent robotics, making him a notable contributor to applied computer vision and human-centered robotic systems.

Research Focus

Key Achievements

7
H-Index
13
Papers
190
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Enhanced Therapy: Development and Validation of Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy
81 citations · 2019
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Zhejiang University of Technology, Quzhou University, City University of Hong Kong, Shenzhen Research Institute, Electric Power Research Institute, Fuzhou University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago