News

A mobile manipulator to help workers on the factory floor

Re-sharing a media interview with University of Auckland: https://www.auckland.ac.nz/en/news/2021/06/15/a-robot-to-help-workers-on-the-factory-floor.html Dr Yuqian Lu and his team are creating a mobile cobot to assist smaller New Zealand manufacturers. What if you had...

Best Paper Award, Robotics and Computer-Integrated Manufacturing

Dr. Lu has been awarded the 2021 RCIM Best Paper Award for his first-author article ‘Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues’. The Best Paper is awarded each year to the RCIM paper published in the past...

Funding to advance key industrial artificial intelligence technologies

The IAI team has received further funding from its industry partners, Oasis Engineering and BOA Hydraulics, to advance its R&D pace on key industrial artificial intelligence technologies. These algorithms are set to transform how traditional manufacturing...

Dr. Yuqian Lu made top 2% Scientists list by Stanford University

Dr. Yuqian Lu has appeared in the prestigious Top 2% Scientists ranking published by Stanford University for the 2020 year.

2021 Science for Technological Innovation National Science Challenge (SfTI) Grant

Congratulations to Dr. Yuqian Lu for securing $199,871 from National Science Challenge SfTI over 2 years to work on time-sensitive industrial control in 5G environment, in collaboration with Victoria University University of Wellington and Spark New Zealand...

Most downloaded article on Robotics and Computer-Integrated Manufacturing

Congratulations to Dr. Yuqian Lu and all the co authors. Their recent publication on Digital Twin-driven smart manufacturing has been listed as the most downloaded article on Robotics and Computer-Integrated Manufacturing (Impact Factor: 4.392). Download...

Cognitive Manufacturing Symposium at ASME MSEC 2020

To recognize the booming research activities on smart manufacturing, our team has arranged a symposium on Cognitive Manufacturing: Theories, Technologies, and Applications at the ASME MSEC 2020 conference. The conference will be held on June 22-26, 2020, hosted by the...

Summer Research Scholarship Available

The University of Auckland offers Summer Research Scholarships to high-achieving undergraduate students, preferrable in the 3rd or 4th year, who have an interest in pursuing postgraduate study. Conduct a research project under supervision for 10 weeks over the summer...

Research Highlights

Research Directions

Smart Manufacturing Systems

We develop state-of-the-art manufacturing systems featuring advanced sensing, reasoning, planning and control technologies.

  • Cyber-physical Production Systems
  • Digital Twin
  • Industrial Internet
  • Industrial Internet of Things
Industrial Intelligence

We develop intelligent AI algorithms to mine knowledge from unstructured industrial data, such as image, text, voice, and drawings. Scalable knowledge-based AI tools are developed for smart factories.

  • Industrial Machine Learning
  • Industrial Knowledge Graph
Industrial Robot and Control

We build intelligent industrial robotic technologies for smart factory applications. The research focus is on unstructured environment sensing, data fusion, robotic learning, and adaptive control.

  • Multi-robot collaboration
  • Human-robot collaboration
  • Intelligent robotic control
Smart Manufacturing Automation

We develop future-proofing automation theories and systems towards factories of the future. The research focus is on flexible and collaborative manufacturing automation.

  • Multi-agent systems
  • Human-in-the-loop system