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News And Events

News
Invitation to the Symposium on Innovative Robotics Technologies and Applications - 23 May (Thur)
13/05/2024
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).
News
Building future through diversified cooperation | Interview with Professor Hannah Stuart
04/05/2024
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.
News
InnoEX圓滿收關,HKCLR以智造引領未來
12/04/2024
香港物流機械人研究中心(HKCLR)很榮幸參加香港特別行政區政府創新科技及工業局和香港貿易發展局合辦的「香港國際創科展」(InnoEX),並攜地下管道不倒翁巡檢機器人以及智能分揀機器人亮相。
News
助推智慧城市建設,HKCLR出席香港國際創科展新聞發布會
04/04/2024
3月22日,第二屆香港國際創科展(InnoEX)新聞發佈會於灣仔香港會議展覽中心舉行,香港物流機械人研究中心(HKCLR)受邀出席,並展示了面向智慧城市的地下管道不倒翁巡檢機器人。
News
HKCLR熱烈歡迎福建省南安市“領軍班”青年企業家來訪
04/04/2024
為聯動香港與內地產業資源協同發展,3月22日,福建省南安市20余名“領軍班”青年企業家到訪香港物流機械人研究中心(HKCLR)。
PR Coverage
中心總監劉雲輝教授接受科創板日報采訪
03/04/2024
香港中文大學天石機器人研究所所長劉雲輝在接受《科創板日報》記者采訪表示,他們對今年的政府工作報告,比較關註其中數字經濟創新發展的部分,比如報告提及的深化大數據、人工智能等研發應用,開展「人工智能+」行動等。

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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