Level-up and
the logistics industry with
robotics and AI technologies
Introduction video of HKCLR
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News And Events

「黑科技」走入現實 | 探索工業外骨骼機器人的創新之旅
Highlights of HKCLR Symposium on Innovative Robotics Technologies and Applications
A number of leaders in academia and industry were invited to share their unique insights on cutting-edge technologies and application developments in the fields of robotics and AI, including topics on human–robot interaction, logistics automation and intelligent robotic perception and grasping.
Invitation to HKCLR Seminar on Artificial Intelligence, Reinforcement Learning, and Approximation in Control Systems Design
On behalf of Hong Kong Centre for Logistics Robotics, we are pleased to invite you to join the upcoming HKCLR Seminar be held on 24th May 2024, 4:30 pm – 5:30 pm.
Invitation to the Symposium on Innovative Robotics Technologies and Applications - 23 May (Thur)
On behalf of the Hong Kong Centre for Logistics Robotics, we are pleased to invite you to attend the Symposium on Innovative Robotics Technologies and Applications on 23 May 2024 (Thursday).
Building future through diversified cooperation | Interview with Professor Hannah Stuart
Recently, Hannah Stuart, Assistant Professor of the Department of Mechanical Engineering at the University of California, Berkeley (UCB), who is well versed in the design of intelligent robot hands and grippers, visited Hong Kong Centre for Logistics Robotics (HKCLR). We had the pleasure of inviting Professor Stuart to share with us her research topics, cross-team work experience, advice for young scholars and her experience in Hong Kong.

Research Focus

Research Focus
Robust Sensing and Perception
Robust, efficient and learning-based 3D visual sensing and perception solutions for logistics scenarios.
Research Focus
Human-Robot Collaboration
Combining human and robotic intelligence in manipulation and mobility in complicated logistics scenarios.
Research Focus
Smart Manipulation Robots
Realizing robotic grasping and manipulation in a smart, stable, adaptive and platform-agnostic way to rise to the challenges in actual, daily robotic applications.
Research Focus
Unmanned Logistic Vehicles
Spare the scarce manpower of human drivers, enabling self-driving of heavy payload vehicles with desirable accuracy, thanks to real-time algorithms for SLAM, navigation, and precise motion control.
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