To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
University of Lincoln (UoL) researcher Dr Miao Yu presented at the ULTRACEPT Sandpit Session on the 20th June, 2023 on the topic: Computer Vision Based Human Motion Analysis for Healthcare.
ULTRACEPT: Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance
Computer Vision Based Human Motion Analysis for Healthcare
Date: 20 June 2023
Time: UK 11:00; Germany 12:00; Argentina 07:00; Malaysia 18:00; China 18:00; Japan 19:00.
Facilitators: Miao Yu, Senior Lecturer, University of Lincoln (presenter)
Shigang Ye, Senior Lecturer, University of Lincoln (chair)
Location: MS Teams
Please note: We will be recording this session to share with those project researchers who are not able to attend, but this will only be shared within the consortium and will not be publicly accessible.
Sandpit Schedule
UK Time
Item
Presenter/s
11:00 -11:05
Arrival and welcome
Shigang Yue
11:05 – 12:00
Presentation Computer Vision based human motion analysis for healthcare
Miao Yu
12:00 -12.25
Discussion
All attendees
12:25 -12:30
Final comments
Shigang Yue/Miao Yu
Dr Yu is a Senior Lecturer at the School of Computer Science in the University of Lincoln. He worked as a research associate for the research project “Signal Processing Solutions in a Networked Battlespace” (funded by the EPSRC) in the Aeronautical and Automotive Engineering Department, Loughborough University from 2013 to 2017. Prior to it, he obtained his PhD in the School of Electrical and Electronic Engineering, Loughborough University with the PhD thesis title “Computer vision based techniques for fall detection with application towards assisted living”. Dr Miao’s research interests lie in developing algorithms in statistical signal processing, image/video processing, machine learning and data/knowledge modelling, with applications in objects detection and tracking, behaviour recognitions and abnormal detection for healthcare.
To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
University of Lincoln (UoL) researcher Dr Vassilis Cutsuridis presented at the ULTRACEPT Sandpit Session on the 20th February, 2023 on the topic: Memory Formation in Computational Brain Microcircuits.
ULTRACEPT: Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance
Memory Formation in Computational Brain Microcircuits
Date: 20 February 2023
Time: UK 10:30; Germany 11:30; Argentina 07:30; Malaysia 18:30; China 18:30; Japan 19:30.
Facilitators: Vassilis Cutsuridis, Senior Lecturer, University of Lincoln (presenter), Shigang Yu, Senior Lecturer, University of Lincoln (chair)
Location: MS Teams
Sandpit Schedule
UK Time
Item
Presenter/s
10:00 -10:05
Arrival and welcome
Shigang Yue
10:05 – 11:00
Presentation Associative Memory in Brain Microcircuits: Lessons from Engineering and Neuroscience
Vassilis Cutsuridis
11:00 -11.25
Discussion
All attendees
11:25 -11:30
Final comments
Shigang Yue/Vassilis Cutsuridis
DrCutsuridis is a Senior Lecturer in Computer Science, and a member of the Machine Learning research group at the University of Lincoln. He holds a BSc and MSc in Maths and Physics, an MA in Cognitive and Neural Systems, and a PhD in Computational Neuroscience. He is an active member of UK’s Applied Vision Association Society, the British Oculomotor Group, EU’s Convergent Science Network of Bio-mimetic and Bio-hybrid Systems since 2010 and of European Network for the Advancement of Artificial Cognitive Systems.
Dr Cutsuridis’ research spans brain inspired artificial intelligence including neural computation, cognitive modelling, bio-machine learning and biosignal analysis. He has developed large scale connectivity-based models of Parkinson’s disease, biomimetic learning rules and neural network models of learning and memory, deep neurocognitive models of perception-cognition-action in robots, and behavioural models of eye movements in neurodegenerative diseases such as Huntington’s disease, schizophrenia, and OCD. With collaborators he has published numerous articles in machine learning applications in epilepsy, agriculture, structural biology, biomedical text mining, and eye movements. He has published more than 100 articles in journals and conferences. He is associate editor of Springer-Nature’s Cognitive Computation journal and the Frontiers in Psychology section Cognitive Science. He has edited the popular “Hippocampal Microcircuits: A Computational Modeller’s Resource Book” and the ‘Multiscale Models of Brain Disorders” Springer-Nature books.
The IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) is the flagship conference of both IEEE-SMC TC on Bio-mechatronics and Bio-robotics Systems, and IEEE-RAS TC on NeuroRobotics Systems. ICARM 2022 took place in the Steigenberger Hotel, Guilin, China from July 9th to 11th, 2022. ULTRACEPT researchers Qinbing Fu, Xuelong Sun and Tian Liu attended this event with their co-authored paper titled: “Efficient bio-robotic estimation of visual dynamic complexity”.
ICARM22 presentation
Qinbing presented “Efficient bio-robotic estimation of visual dynamic complexity” in the regular session of the conference. This presentation gave a great introduction and demonstration of our multimodal swarm robotics platform named VColCOSP, which appealed to our academic peers who share similar researcher interests.
ULTRACEPT researcher Qinbing Fu presenting at ICARM22
Abstract
Visual dynamic complexity is ubiquitous, hidden attribute of the visual world that every motion-sensitive vision system is faced with. However, it is implicit and intractable which has never been quantitatively described due to difficulty in defending temporal features correlated to spatial image complexity. Learning from biological visual processing, we propose a novel bio-robotic approach to estimate visual dynamic complexity, effectively and efficiently, which can be used as a new metric for assessing dynamic vision systems implemented in robots. Here we apply a bio-inspired neural network model to quantitatively estimate such complexity associated with spatial-temporal frequency of moving visual scene. The model is implemented in an autonomous micro-mobile robot navigating freely in an arena encompassed by visual walls displaying moving scenes. The response of the embedded visual module can make reasonable prediction on surrounding dynamic complexity since it can be mapped monotonically to varying moving frequencies of visual scene. The experiments demonstrate this “predictor” is effective against different visual scenarios that can be established as a new metric for assessing visual systems. To prove its viability, we utilise it to investigate the performance boundary of a collision detection visual system in changing environment with increasing dynamic complexity.
The conference provided the ULTRACEPT researchers an opportunity to network and participate in knowledge exchange with researchers from other universities and academic institutions, including leading experts and professors in this field, paving the way for potential research cooperation in the future.
In this event, the ULTRACEPT group listened to high quality plenary talks relevant with our group’s topics. Xuelong said “the ideas presented by the speakers cover many aspects of the cutting-edge technologies of AI and autonomous robots such as swarm intelligence, embodiment, cognitive, etc.”. The group had an impressive experience and grasped some interesting and useful ideas and inspirations for future studies.
ICARM22 attended by UTLRACEPT researchers Xuelong Sun, Qingbing Fu, Tian Liu
To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
The project group’s fifth sandpit session was hosted online by ULTRACEPT partner Westfälische Wilhelms-Universität Muenster (WWU) on the 17th of May 2022. The session also hosted a guest speaker from Chaoyang University of Technology (CYUT) in Taiwan. The session was chaired by Prof. Xiaoyi Jiang (WWU) and featured three speakers: Andreas Nienkötter, Postdoc, WWU; Jiaqi Zhang, PhD student, WWU; and Vani Saravanarajan, PhD student, CYUT. The theme of the session was ‘Machine Learning: Methods and Applications’.
Sandpit Session 5: Machine Learning: Methods and Applications
Date: 17th May 2022
Time: UK 11:00; China 18:00; Germany 12:00; Argentina 07:00; Malaysia 18:00; Japan 19:00.
Facilitators:
Andreas Nienkötter, Postdoc, WWU, Germany
Jiaqi Zhang, PhD student, WWU, Germany
Vani Saravanarajan, PhD student, CYUT, Taiwan
Xiaoyi Jiang, WWU, Germany (chair)
Location: MS Teams
Sandpit Schedule
UK Time
Item
Presenter/s
11:00-11:05
Arrival and welcome
Xiaoyi Jiang
11:05-11:35
Generalized median computation for consensus learning
This talk presents the generalized median computation that is a particular form of consensus learning based on a mathematical optimization framework. Computational algorithms and potential applications will be briefly presented.
Andreas Nienkötter
11:35-12:00
Soft min/max and median estimation
This talk presents different ways of soft estimation of minimum, maximum, and median operator. Such soft estimation makes the computation differentiable and is thus helpful in many applications.
Jiaqi Zhang
12:00-12:25
Car crash detection using ensemble and transfer learning neural networks
This talk presents different types of neural networks and the ways to combine them for multi-class car crash detection. The neural networks are trained with a small dataset and can be extended to many useful applications.
Vani Saravanarajan
12:25-12:30
Final comments
Xiaoyi Jiang
Next session
Our next sandpit session will be held in September 2022 and hosted by Jiannan Zhao. More details will be provided closer to the time.
Andreas Nienkötter presented his talk on ‘Generalized median computation for consensus learning’.
Andreas Nienkötter presents Generalized median computation for consensus learning
Jiaqi Zhang presented her talk on ‘Soft min/max and median estimation’.
Jiaqi Zhang presents Soft min/max and median estimation
Vani Saravanarajan presented her talk on ‘Car crash detection using ensemble and transfer learning neural networks’.
Vani Saravanarajan presents Car crash detection using ensemble and transfer learning neural networks
University of Lincoln researchers Tian Liu, Xuelong Sun, and Jiannan Zhao recently competed at the 2021 International Competition of Autonomous Running Robots (Running Robot). Running Robot is an international competition co-launched by Beijing Association for Science and Technology, Beijing Institute of Electronics, School of Integrated Circuits, Tsinghua University, Beijing Science and Technology Association Service Center, Korea Advanced Institute of Science and Technology, etc. The competition has been successfully held for two terms, attracting more than 40 well-known universities and more than 110 teams from countries and regions, including Germany, Britain, South Korea, Pakistan, Russia and China. The competition attracted the attention of CCTV, China International TV, China Education TV, Beijing TV, Xinhua news agency, China News Agency, people’s daily, and other domestic media.
Team LinBot
Given the pandemic situation, alongside a physical competition held in Beijing from 15-17th October 2021, there was also a virtual competition making use of the robotic simulation software, Webots. Xuelong Sun, Tian Liu and Jiannan Zhao from the University of Lincoln participated in this competition under the team name ‘LinBot’. Their excellent performance in the virtual competition secured them an impressive second place. Within only eight minutes, robots are asked to fulfill multiple tasks on the road as quickly as possible. LinBot completed all the tasks in about 7 minutes.
Xuelong said, “by solving all the challenging problems in this competition, I have learned a lot about biped robot controlling, object recognition, computer vision etc. And importantly how to cooperate with others in a team. Thanks for the support and help from the ULTRACEPT project and all the colleagues in the university.”
Dr Doraisamy was invited as a guest speaker at the “Best Practices” breakout sessions of the “MSCA – Staff Exchange (MSCA-SE) – International collaboration with European partners” Webinar on 15 June 2021. The European Commission’s Marie Skłodowska-Curie Actions (MSCA) offers funding for short-term international and inter-sectoral exchanges of staff members involved in research and innovation activities of participating organisations.
The webinar introduced the MSCA Actions with a specific focus on the 2021 call “Staff Exchanges” (MSCA-SE) which promotes international and cross-sector collaboration through exchanging research and innovation staff. How participants could enhance their organisation’s innovation capacity through interdisciplinary and intersectoral collaboration with European and global partners were discussed during the webinar.
An introduction was given by the following speakers:
Ms Marlène Bartes, Policy Officer, Directorate General for Education, Culture, Youth and Sport (DG EAC), European Commission, Brussels, Belgium
Mr Brito Ferreira, Head of Sector, European Research Executive Agency, European Commission, Brussels, Belgium
Amongst the information provided were:
What are the MSCA Staff Exchanges?
Who can apply for MSCA Staff Exchanges?
What is funded?
How does it work?
When is the next call for propoals?
Following the introduction, breakout sessions led by ASEAN and European participants in ongoing MSCA-funded research consortia. The breakout sessions allowed a platform for exchange on how to create a MSCA-SE consortium.
Dr Shyamala Doraisamy, Universiti Putra Malaysia, and partner in MSCA Research & Innovation Staff Exchange (RISE) project ‘Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance (ULTRACEPT)‘ was invited to speak at this session.
Dr Shyamala Doraisamy presenting at the Euraxess Webinar
Dr Doraisamy also participated in the European Research Day (ERD) 2020 (Virtual Edition) organized by Euraxess Asean. ERD Malaysia 2020 was held from 21- 25 September 2020 to promote research collaboration with Europe and career advancement opportunities for researchers in Malaysia and ASEAN.
Following the opening remarks by Francesco Floris, Head of the Trade and Economic Section of the European Union Delegation to Malaysia. Dr Shyamala Doraisamy was invited as a panelist for an international collaboration panel discussion. This dialogue session on ‘How to build and maintain an international research network during a pandemic” was held in collaboration with the Young Scientist Network (YSN) of Malaysia with 211 participants on 21 September 2020.
To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
The project group’s fourth sandpit session was hosted online by ULTRACEPT partner the University of Buenos Aires (UBA-CONICET) on the 23rd July 2021. The session was facilitated by PhD student Yair Barnatan, and Dr Julieta Sztarker, Independent researcher (chair). The theme of the session was ‘Optic flow analysis: From the circuit to the behaviour and back’.
Presentation by Dr Julieta Sztarker
Presentation by Dr Julieta Sztarker
Sandpit Session 4: Optic flow analysis: From the circuit to the behaviour and back
Date: Friday, 23rd July 2021
Time: UK 11:00; China 18:00; Germany 12:00; Argentina 07:00; Malaysia 18:00; Japan 19:00.
Optic flow analysis: From the circuit to the behaviour and back
In this talk I will summarise what we know about the optomotor responses performed by flies and crabs in different conditions (monocular, binocular stimulation) and using different directions of stimulation. I will present the underlying neuronal circuit that has been proposed for flies based on a long line of electrophysiological recordings of directional neurons from the lobula plate and other cells and behavioural studies. I will present results on the locomotive optomotor responses in crabs that respond preferably to stimulation in a unique direction under monocular conditions but not in binocular ones and show what we know so far about the type of directional cells found in crabs.
Julieta Sztarker
11:35-12:00
Out of the oven: recent results using simultaneous recordings of locomotive and eye saccades in crabs
I will present our latest data measuring simultaneously the locomotive and eye saccades of crabs in response to panoramic stimulus moving in different directions and conditions (monocular, binocular). We found an apparent correlation between the variables obtained in some conditions of stimulation but not in others.
Yair Barnatan
12:00-12:25
Group discussion about the possibility of modelling the underlying circuit based on behavioural data.
Julieta Sztarker
12:25-12:30
Final comments & volunteer for a facilitator for the next session
We are planning our next sandpit session in 2 months’ time (September).
To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
Researchers Xuelong Sun, a student of the University of Lincoln, and Dr Qingbing Fu, Postdoc at Guangzhou University, recently hosted an online Sandpit Session on the 14h May 2021. The theme of the session was ‘What we can learn from insect: Unveil insect navigation mechanism’.
Sandpit Session 3: What we can learn from insects: Unveil insect navigation mechanism
Date: Friday, 14th May 2021
Time: UK 10:00; China 17:00; Germany 11:00; Argentina 06:00; Malaysia 17:00; Japan 18:00.
Facilitators: Xuelong Sun, PhD student, University of Lincoln, Qinbing Fu, Postdoc, Guangzhou University (chair)
Location: MS Teams
Sandpit Schedule
UK Time
Item
Presenters
10:00-10:05
Arrival and welcome
Qinbing Fu,
Xuelong Sun
10:05-10:35
Insect navigation
Many insects are highly capable navigators, with abilities that rival those of mammals and other vertebrates. I will give a review of insect navigation from the following three aspects: 1) the rich array of insect navigation behaviours, 2) the known brain regions and neuropils related to navigation tasks and 3) computation models aiming to unravel the neural mechanism of insect navigation. Then, from the computation model point of view, I will report our work filling the current gaps of understanding insect navigation especially the visual navigation and optimal cue integration. Thus, the potentially useful role that computation model plays in understanding biology system will be demonstrated, which closes this session and opens the topic to be discussed in next session.
Xuelong Sun
10:35-11:10
Group discussion about the session topic:
What’s the role of computation model and biorobotics in understanding biology system?
A group discussion where attendees can raise questions and discuss the topic of research and potential cooperation that was presented.
Facilitated by Qinbing Fu and Xuelong Sun
11.10-11.25
Open forum discussion
An opportunity for attendees to ask the group for advice regarding any challenges they are facing with their own research.
Facilitated by Qinbing Fu and Xuelong Sun
11:25-11:30
Final comments & volunteer for a facilitator for the next session
We are planning our next sandpit session for July 2021.
Focussing on developments in brain inspired hazard perception, reporting on multiple modality neural computation for collision detection, developments on neural vision chip structure and miniaturisation of the systems, preliminary results, relevant to WP2, WP3.
The ULTRACEPT Workshop Three was hosted as an international conference by ULTRACEPT partner Guangzhou University (GZHU). It took place over two days on Thursday 25th & Friday 26th March 2021. Due to the travel restrictions caused by COVID-19, the workshop was held in person by the research group at GZHU and as an online event using MS Teams. 40 researchers attended the sessions.
GZHU researchers attending the ULTRACEPT workshop 3
ULTRACEPT workshop 3
International Workshop on Bio-Inspired Computation & Bio-Robotics (BICBIR 2021)
ULTRACEPT: Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance: Workshop 3 & Annual Board Meeting
Date: Thursday 25th & Friday 26th March 2021
Location: Guangzhou University, Room 603, Block 2, Innovation Garden, Guangzhou HEMC North, Guangzhou, China 510006 and online MS Teams video conference
Day 1
Date: Thursday, 25 March 2021
Time: UK 10:00; China 18:00; Germany 11:00; Buenos Aires 07:00; Malaysia 18:00; Japan 19:00
Facilitator: Dr Qinbing Fu
UK time/ China time
Item
Presenters
10:00-10:10/
18:00-18:10
Arrival and welcome
Prof Shigang Yue
10:10-11:10/
18:10-19:10
Ant-inspired celestial compass yields new opportunities for localization
40 minutes presentation & 20 minutes Q&A
Julien Serres was born in Aix-en-Provence, France. He obtained a MSc degree in Electronics, Electrotechnics, and Automatic Control Engineering from Paris-Saclay University and the École Normale Supérieure Paris-Saclay, France, in 2003. In 2003, he joined the Biorobotics Group at the Institute of Movement Sciences, a joint research unit: CNRS and Aix Marseille University, Marseille, France, under the supervision of Dr Nicolas Franceschini. He obtained his Ph.D. degree at the University of Montpellier in 2008.
After spending 8 years as teacher in Applied Physics (from 2006 to 2014) at the French Department of Education for training qualified technicians (2 years technical degree in Electrotechnics after the A level), he is at present a senior lecturer at the Biorobotics Group.
He is the author or co-author of 90 publications, including 1 patent and 20 indexed journal papers (h-index WoS = 10; h-index Google Scholar = 15). He has already co-supervised 8 PhD students, and his current research interests include biorobotics, bio-inspired visual sensors, insects’ ethology, and the development of bio-inspired autopilot aimed at equipping autonomous robots.
Attendees: ULTRACEPT board members and EU Project Officer, Irina Tiron.
All
12:50-13:00/
20:50-21:00
ULTRACEPT annual board meeting: Final comments
All
The meeting was opened with an introduction by Prof Shigang Yue, the ULTRACEPT project Coordinator from the University of Lincoln (UoL). Following this was a presentation by guest speaker Dr Julien Serres from the University of Montpellier. Dr Serres presented ‘Ant-inspired celestial compass yields new opportunities for localization’.
Julien Serres presenting at ULTRACEPT workshop 3
Following Dr Serres presentation was the annual ULTRACEPT board meeting where the group was joined by the EU Project Officer, Irina Tiron.
Day 2
Date: Friday, 26 March 2021
Time: UK 10:00; China 18:00; Germany 11:00; Buenos Aires 07:00; Malaysia 18:00; Japan 19:00
Facilitator: Dr Qinbing Fu
UK time/ China time
Item
Presenters
10:00-10:10/
18:00-18:10
Arrival and welcome
Prof Jigen Peng & Prof Shigang Yue
10:10-11:10/
18:10-19:10
Stereoscopic vision with an insect brain. How the praying mantis estimates depth.
40 minutes presentation & 20 minutes Q&A
Ronny Rosner is guest researcher at the Biosciences Institute of Newcastle University, United Kingdom, and member of the Centre for Behaviour and Evolution. In 2003 he received a Diploma in Biology from Rostock University, Germany, where he participated in the development of Biosensorchips for drug testing. He then switched fields to basic research in neurobiology. Ronny studies the small but sophisticated brains of insects.
In 2009 Ronny received his PhD from Bielefeld University, Germany. In the laboratories of Professor Martin Egelhaaf and Anne Kathrin Warzecha he worked on the variability of information processing for motion vision in blowflies. He discovered that visual processing for gaze stabilisation depends largely on the behavioural state of the animals.
After completion of his thesis, Ronny worked as a research associate and university teacher at the University of Marburg, Germany. With Prof Uwe Homberg, Ronny studied the neuronal substrate for long range navigation in locusts. He discovered that neurons in a major brain area for spatial orientation, the central complex, are not only sensitive to polarised light but also to visual motion. He also discovered that the activity of these neurons changes when the animals are walking as opposed to when they are standing still.
In 2014 Ronny went on to Newcastle University where he worked as a research associate in the group of Prof Jenny Read. There, he established neurophysiology and worked on the neuronal substrate for stereoscopic vision in praying mantids. He discovered the first neurons for stereoscopic vision in an invertebrate. The achievement was recognized in scientific and public media internationally. Ronny is also member of the community that establishes the Drosophila connectome, a map of all neurons in the fruit fly brain including all synaptic connections. More recently Ronny became interested in translating findings from insect neurobiology to machine vision.
A versatile vision-pheromone-communication platform for swarm robotics
University of Lincoln
– 20 minutes presentation & 10 minutes Q&A
Tian Liu
11:40-11:55/
19:40-19:55
Break
11:55-12:25
19:55-20:25
Pan-sharpening of Remote Sensing Images Based on Deep Neural Networks
Guangzhou University
– 20 minutes presentation & 10 minutes Q&A
Dr Changsheng Zhou
12:25-12:55/
20:25-20:55
Implementing Refractoriness in LGMD Model: Challenges, Methods and Results
University of Lincoln
– 20 minutes presentation & 10 minutes Q&A
Mu Hua
12:55-13:10/
20:55-21:10
Final comments
Prof Jigen Peng & Prof Shigang Yue
Day 2 of the ULTRACEPT Workshop 3 was headed by a presentation from Dr Ronny Rosner from the University of Newcastle (UNEW) who discussed ‘Stereoscopic vision with an insect brain. How the praying mantis estimates depth’.
Ronny Rosner presenting at ULTRACEPT workshop 3
Following Dr Rosner’s presentation was Tian Liu from UoL who presented on ‘A versatile vision-pheromone-communication platform for swarm robotics’.
Tian Liu presenting at the ULTRACEPT workshop 3
Tian Liu presenting at ULTRACEPT workshop 3
Dr Changsheng Zhou from host GZHU presented next with ‘Pan-sharpening of Remote Sensing Images Based on Deep Neural Networks’.
Dr Changsheng Zhou from host GZHU presenting at the ULTRACEPT Workshop 3
Dr Changsheng Zhou presenting at ULTRACEPT workshop 3
The final presentation for the day was from UoL researcher Mu Hua. Mu is currently on an ULTRACEPT secondment at GZHU and presented his research ‘Implementing Refractoriness in LGMD Model: Challenges, Methods and Results’.
To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.
Researchers Hongzhuo Liang and Shuang Li from the Universität Hamburg (UHAM) recently hosted a Sandpit Session on the 5th March 2021. The theme of the session was Robotic Grasping based on Deep Learning: Towards the Robust Perception. 28 attendees across the consortium participated.
Hongzhuo Liang presenting at the ULTRACEPT Sandpit Session
Sandpit Session 2: Robotic Grasping based on Deep Learning: Towards the Robust Perception
Date: Friday, 5th March 2021
Time: UK 10:00; China 18:00; Germany 11:00; Argentina 07:00; Malaysia 18:00; Japan 19:00.
Facilitators: Hongzhuo Liang, PhD student, Universität Hamburg and Shuang Li, PhD student, Universität Hamburg
Location: MS Teams
Sandpit Schedule
UK Time
Item
Presenters
10:00-10:05
Arrival and welcome
Shuang Li
10:05-10:35
Robotic Grasping based on Deep Learning: Towards the Robust Perception
Autonomous robotic grasping is a challenging task, which includes many respects of research areas, e.g., perception, robotics, and psychology. In this talk, I will review the state of art in robotic grasping. Then, I will report the current working progress of my grasping work: from two-finger grasping to multi-finger grasping based on deep learning methods. This session will encourage an open-minded way for facilitating quick idea-exchanging.
Hongzhuo Liang
10:35-11:10
Group discussion about the session topic
How do bio-inspired methods help to design a better robotic grasping agent?
A group discussion where attendees can raise questions and discuss the topic of research and potential cooperation that was presented.
Facilitated by Shuang Li
11.10-11.25
Open forum discussion
An opportunity for attendees to ask the group for advice regarding any challenges they are facing with their own research.
Facilitated by Shuang Li
11:25-11:30
Final comments & volunteer for a facilitator for the next session
We are planning our next sandpit session for May 2021.
Shuang Li
Hongzhuo Liang and Shuang Li discussing their research ideas with the attendees
More detailed information about Hongshuo Liang’s research publications and code can be found on his website.
To find out more about the fascinating work being carried out by the team at UHAM, check out their YouTube channel TAMS UHAM.
Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance
