HKUST-HKPC Joint Research Lab 

HKUST-HKPC Joint Research Lab 
for Industrial AI and Robotic

The HKUST-HKPC Joint Research Lab 
for Industrial AI and Robotic (INAIR) aims to develop innovative industrial technologies that can address the technical challenges being faced by the manufacturers and provide practical solutions with the adoption of artificial intelligence (AI) and robotics technology

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Joint Lab Collaborators

Key Research Topics

Industrial AI

Developing novel big data-driven AI solutions that can simulate and analyze the complicated production systems

Big data

Developing versatile sensors with edge-computing capability supported by stream data acquisition and analysis power for smart manufacturing applications, with the adoption of Internet of Things

Data science

Equipping software systems and robotics agents with effective visual interfaces to improve information understandability, feedback control and human-in-the-loop decision making with the smart use of Human-Computer Interfaces

Robotics

Developing grippers for the food industry, autonomous systems for grinding and spraying for the hardware and plastics industry, and intelligent equipment for cleaning and inspection of facilities

Lab Management Team

Prof. ZHOU Xiaofang
Director

Otto Poon Professor of Engineering and Chair Professor, HKUST

Prof. GE Ming
Co-director

General Manager of Robotics and Artificial Intelligence Division of HKPC
Chief Operating Officer of Hong Kong Industrial Artificial Intelligence & Robotics Centre (FLAIR)
Prof.  TSUNG Fugee
Associate Director

Chair Professor and Acting Dean of Information Hub of HKUST (GZ)
Dr. ZHANG Ruiyuan
Lab Manager

Postdoc Fellow of HKUST

Research Projects

 The research projects to be carried out in the Joint Lab

Events

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Leveraging HKPC’s wealth of expertise and solid experience in the implementation of intelligent manufacturing and HKUST’s internationally-recognized and world-leading research competency in the fields of AI and robotics, the Joint Lab will collaborate closely on a wide range of initiatives to address real-world challenges for the benefit of Hong Kong, the nation and even the world. 

People

The Hong Kong University of Science and Technology
  • Automatic Surface Defect Detection with Machine Learning:
    Assistant Prof. Chen Qifeng, Yuenfui Lau, Junming Chen
  • Small Defect Inspection for Product Quality Control:
    Prof. TSUNG Fugee
  • Identification and Root Cause Analysis of Congestions in the Large-scale Cargo Handling System:
    Prof. ZHOU Xiaofang, Dr. ZHANG Ruiyuan
  • Robot Task Learning through Virtual Human Demonstration:
    Associate Prof. MA Xiaojuan, Hanfang Lyu
  • Large Scale AGV Path Planning System:
    Assistant Prof. LI Lei, Ruizhong Wu, Zizhuo Xu, Xinjie Zhou 
  • Optimizing Next Best View Algorithm for Anomaly Detection:
    Prof. CHEN Lei



HKPC/FLAIR
  • Automatic Surface Defect Detection with Machine Learning:
    Freeman Hui (HKPC), Bonny Lu (FLAIR), Frodo Chan (FLAIR), Jim Liu (FlAIR), Ivy Law (FLAIR)
  • Small Defect Inspection for Product Quality Control:
    Freeman Hui (HKPC), Alvis Lee (HKPC),  Bonny Lu (FLAIR), Frodo Chan (FLAIR), Jim Liu (FlAIR), Ivy Law (FLAIR)
  • Identification and Root Cause Analysis of Congestions in the Large-scale Cargo Handling System:
    Freeman Hui (HKPC), Dora He (FLAIR), Nicholas Tam (FLAIR) , Sean Lau (FLAIR) , Gavin Huang (FLAIR) , Yu Xin Cheng (FLAIR) , Ivy Law (FLAIR)
  • Robot Task Learning through Virtual Human Demonstration:
    Dr. Leiliang Gong (HKPC), Freeman Hui (HKPC), Terence Li (FLAIR),  Ivy Law (FLAIR) 
  • Large Scale AGV Path Planning System:
    Wilson Leung (HKPC) , Hazel Cheung (HKPC) , Brian Wang (HKPC) , Freeman Hui (HKPC) , Michael Fong (FLAIR),  Bonny Lu (FLAIR), Frodo Chan (FLAIR),   Ivy Law (FLAIR) 
  • Optimizing Next Best View Algorithm for Anomaly Detection:
    Freeman Hui (HKPC), Alvis Lee (HKPC), Xiaodong Chen (HKPC), Bonny Lu (FLAIR),  Ivy Law (FLAIR)




Lab locations

Hong Kong University of Science and Technology

Clear Water Bay, Hong Kong

Hong Kong University of Science and Technology (GZ)

Guangzhou, China

HKPC

HKPC

HONG KONG

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