Qinbing Fu presents his research at the IEEE ARM 2020 Conference

Dr Qinbing Fu Completes 12 Month Secondment in China

Dr Qinbing Fu received his PhD at University of Lincoln, in October 2018. Following a secondment under the STEP2DYNA project, Dr Fu carried out a further secondment under the ULTRACEPT project from August 2019 to August 2020 at partner Guangzhou University. Here he undertook research contributing to work packages 1 and 4. Dr Fu then went on to work as a postdoctoral researcher with Professor Shigang Yue until January 2021. Dr Fu’s ULTRACEPT contributions have involved directing the research into computational modelling of motion vision neural systems and applications on robotics. His research achievements and outputs for this project thus far is outlined in this blog post.

Research Outcomes

In support of the ULTRACEPT project, Dr Fu has published seven research papers including five journal papers and two conference papers. He was the first author on five of the publications and co-authored the other two. His main achievements have included:

  • The modelling of LGMD-1 and LGMD-2 collision perception neural network models with applications on robot and vehicle scenarios;
  • The modelling of Drosophila motion vision neural system for decoding the direction of foreground translating object in moving cluttered background;
  • A review on the related field of research;
  • Multiple neural system models integration for collision sensing.
Dr Qinbing Fu's ULTRACEPT research activities. Using the Colias robots for modelling work on collision detection visual systems.
Using the Colias robots for modelling work on collision detection visual systems.

Dr Fu’s research outputs can be found on his personal web pages on Google Scholar and ResearchGate. In addition, Qinbing directed promising research on building visually dynamic walls in an arena to test the on-board visual system. These research ideas have been collated and summarised in his research papers.

Dr Fu’s research contributions have fully supported ULTRACEPT’s WP1 and WP4. This includes modelling work on collision detection visual systems with systematic experiments on vehicle scenarios and also the integration of multiple neural system models for motion perception.

Using the Colias robots for modelling work on collision detection visual systems.
Using the Colias robots for modelling work on collision detection visual systems.

Secondment at Guangzhou University, China

Dr Fu carried out his ULTRACEPT secondment at project partner GZHU in China where he worked with Professor Jigen Peng. During this period he developed his capability on several aspects, becoming a more mature researcher in the academic community. This included: aspiring to progressive research ideas, collaboration with group members on completing research papers, coordinating teamwork, disseminating the project, good communication experience with global partners, and writing project proposals. Undoubtedly, the ULTRACEPT secondment for Dr Fu has been very successful.

Dissemination Activities

Dr Fu has undertaken a number of dissemination activities to promote the ULTRACEPT research outcomes. On the 28th July 2020, he presented his research at the ULTRACEPT online Workshop 2 on the topic of “Adaptive Inhibition Matters to Robust Collision Perception in Highly Variable Environments”. At this event, he exchanged ideas with project partners.

Qinbing Fu presents at ULTRACEPT Workshop 2
Dr Fu presents at ULTRACEPT Workshop 2

Dr Fu also facilitated a ULTRACEPT online Sandpit Session on 27 November 2020, during where he gave a talk on “Past, Present, and Future Modelling on Bio-Inspired Collision Detection Visual Systems: Towards the Robust Perception”.

Dr Fu presents at ULTRACEPT's First Sand Pit Session
Dr Fu presents at ULTRACEPT’s First Sand Pit Session

On 18th December 2020, Dr Fu attended the 2020 IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) held in Shenzhen, China where he presented his research paper entitled “Complementary visual neuronal systems model for collision sensing”. He also chaired a Session on “Biomimetics” during this conference.

Qinbing Fu presents his research at the IEEE ARM 2020 Conference
Dr Qinbing Fu presents his research at the IEEE ARM 2020 Conference
Qinbing Fu presents his research at the IEEE ARM 2020 Conference
Qinbing Fu presents his research at the IEEE ARM 2020 Conference

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