Welcome to Adaptive Robotic Controls Lab (ArcLab).
ArcLab is currently located at the AAE at the Hong Kong Polytechnic University (PolyU).
Our research focuses on various control techniques which can enhance the autonomy of robotics.
Open Positions
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Research Assistant
Ran Duan

Short Description

Research interests

Computer Vision, Pattern Recognition, Robotics

Work Experience

2019.01-Present: PhD at The Hong Kong Polytechnic University

2018.11-2019.01: Research Assistant at The Hong Kong Polytechnic University

2018.02-2018.08Visiting Scholar at City College of New York, USA                                          

2015.11-2017.10: Research Associate at Nanyang Technological University, Singapore    

2015.2-2015.7: Research Intern at University of Strasbourg, France


Masters in Computer Vision, University of Burgundy, France (European VIBOT program), 2013-2015

Bachelors in Communication Engineering, Southwest University of Science and Technology, China, 2009-2013


- C. Fu, Y. Zhang, R. Duan and Z. Xie: Robust Scalable Part-Based Visual Tracking for UAV with Background-Aware Correlation Filter. IEEE International Conference on Robotics and Biomimetics Processing (ROBIO 2018).

- R. Duan, C. Fu and E. Kayacan: Tracking-Recommendation-Detection: A Novel Online Target Modeling for Visual Tracking. Engineering Applications of Artificial Intelligence, 2017, 64: 128 – 139.https://youtu.be/L3XjGvsy4BA

- C. Fu, R. Duan, D. Kircali and E. Kayacan: Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model. Sensors 2016, 16, 1406. https://www.youtube.com/watch?v=cu9cUYqJ1P8

- R. Duan, C. Fu and E. Kayacan: Recoverable Recommended Keypoint-aware Visual Tracking Using Coupled-layer Appearance Modelling. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016).

- R. Duan, C. Fu, E. Kayacan and D. P. Paudel: Recommended Keypoint-Aware Tracker: Adaptive Real-time Visual Tracking Using Consensus Feature Prior Ranking. IEEE International Conference on Image Processing (ICIP 2016, oral).