We believe cutting-edge research should go hand in hand with innovative education. We build AI-powered teaching platforms and hands-on learning experiences with real drones, ground robots and intelligent vehicles, so that students leave with industry-ready skills.
From GNSS navigation labs to end-to-end autonomous-driving projects, our curricula combine theoretical foundations with practical implementation — and connect courses to robotics competitions, internships and research.
- Robotics education platforms
- GitHub-based learning
- Project-based learning
- Competitions
- MSc in Low-altitude Economy
Our Approach
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AI-powered robotics platforms
Integrated hardware and software for teaching AI, perception, navigation and control on real drones, ground robots and vehicles.
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GitHub-based collaborative learning
Open, GitHub-based teaching with 50+ code examples, adopted by Wuhan University, Beihang University and UC Berkeley.
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Hands-on project-based learning
ROS robot-car projects, PX4/ArduPilot drone workshops, MATLAB/Python demonstrations and deep-learning frameworks.
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Bridging research and industry
Industry tools, case studies and speakers that prepare students for careers in autonomous systems and AI engineering.
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Embodied AI curriculum
As Associate Programme Leader, Prof. Wen drafted the MSc in Low-altitude Economy to meet new needs in drones and urban air mobility.
Video Demonstrations
Courses and Teaching Platforms
- AAE4011 Artificial Intelligence in Unmanned Autonomous Systems — AI for drones and ground robots: perception, planning and decision-making with deep and reinforcement learning.
- AAE5306 Electronics Design and Informatics for the Low-Altitude Economy — electronics, sensing and AI tools taught through drone applications.
- AAE4203 Guidance and Navigation — GNSS positioning (SPP, DGNSS, RTK), visual navigation, Kalman filtering and factor graph optimisation, with video lectures and tutorials.
- AAE3004 Dynamical Systems and Control — modelling, stability and feedback control for aerospace and robotics.
- AAE6102 Satellite Communication and Navigation (invited lectures) — advanced GNSS, multi-sensor integration and AI-aided urban navigation.
Robotics Competitions
- PolyU AI & Robotics Club — we support students from many disciplines in designing, building and programming robots for national and international competitions.
- DJI RoboMaster and ABU Robocon — mentoring student teams in autonomous robot competitions with AI perception and real-time strategy.
- ICRA robot challenges — autonomous navigation, manipulation and multi-robot coordination tasks.
- UAV competitions — indoor navigation, aerial manipulation and drone swarms.
- Interdisciplinary training — mechanical design, embedded systems, computer vision, SLAM and reinforcement learning.
Student Projects
- Reliable UAV Perception and Perching Solutions in Urban Areas — ZHAO Jiaqi, LI Mingjue To, FU Chenlei (2024/25)
- Handheld Multi-sensor Fusion Mapping System — QIN Qijun, WANG Yuteng (2024/25)
- High-Definition Map with Traffic Signs Based on LiDAR-Visual-IMU Fusion SLAM — QIN Qijun (Merit Award, Best URIS Research Project 2024)
- An Adaptive Drilling Process for the Aircraft Skin — LAU Chun Ho, LEUNG Cheuk To, CHAN Hei Lam Joshua (2022/23)
- UAS for Situation Awareness and Risk Assessment — LAM Yat Long, CHEN Yat Nam (2022/23)
- Person-following Mobile Robotics — MOHAMMAD Tamz (2021/22)
Collaborators
Our open teaching resources are used and extended by colleagues at Wuhan University, Beihang University and UC Berkeley.