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

HKSTP - Lenovo - HKCLR Co-incubation Trainings
21 February 2024
We are delighted to invite you to join the upcoming HKSTP - Lenovo - HKCLR Co-incubation Trainings, scheduled to take place on 21 Feb 2024 and 23 Feb 2024, respectively. This time, we have the privilege to invite Ir Prof. Alan Lam and Prof. Pedro Albertos to share their invaluable insights on university research commercialization and the teaching of Control Engineering. Don't hesitate to register and participate in these two enlightening talks this week!
31 January 2024
30 January 2024
PR Coverage
28 January 2024
“怎样定义未来的机械人,怎样研发机械人的核心技术,是我们不断思考的问题。”——港中大机械与自动化工程学系 刘云辉教授
Invitation to the HKCLR Seminar Series on Robotics and AI – Talk 31
04 January 2024
On behalf of Hong Kong Centre for Logistics Robotics, we are pleased to invite you to join the upcoming HKCLR Seminar Series on Robotics and AI to be held on 10 Jan 2024, 3:30 pm – 4:30 pm.
PR Coverage
A Look Back at 2023: The Top Moments of HKCLR
28 December 2023
In the year of 2023, the global economy is gradually back on track and the people-to-people exchange around the world resumes. In this year, HKCLR received more than 30 delegations from Mainland and the world, held more than 20 academic seminars and trainings, and joined various exhibitions and events both locally and overseas, aspiring to bring the innovative technologies closer to people and to nurture next-generation innovators and entrepreneurs for their future success.

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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