An Integrated Vision and Control Architecture for Agile Robotic Exploration

Lead Research Organisation: University of Bristol
Department Name: Computer Science

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Liu Yanan (2021) Bringing A Robot Simulator to the SCAMP Vision System in arXiv e-prints

 
Description We have developed novel algorithms for knowing how a camera has moved in space when the camera is of the special type of having a processor at every pixel. These new algorithms have been published at top international conferences in Computer Vision and Robotics. The interest from academic colleagues as well of industry is very encouraging as the new type of cameras and algorithms we are developing on this project can have a dramatic impact for robots and AI systems that move and have to perceive in real-time.
My colleague partners are setting up a startup as a direct result of this award and one of my post-docs will be joining that company after completing research his associate activity.
Exploitation Route We are currently being approached by colleagues from another UK university interested in collaborating as well as colleagues from another European institution. My colleague partners are setting up a startup as a direct result of this award and one of my post-docs will be joining that company after completing research his associate activity.
Sectors Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Electronics

URL https://sites.google.com/view/project-agile
 
Description Our project partners at the University of Manchester did set up a spin-out company to further develop the technology of Pixel Processor Arrays. This was expanded and underpinned by the Computer Vision algorithms developed in this research project. That startup has been wound down. But there is interest in creating further commerial impact.
First Year Of Impact 2022
Sector Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Electronics
Impact Types Economic

 
Description Initial collaboration with Imperial College London 
Organisation Imperial College London
Country United Kingdom 
Sector Academic/University 
PI Contribution As we aim to expand the impact of Pixel Processor Arrays we have supported Imperial College Researchers to get a better understanding of the technology and ways to program devices with computer vision algorithms.
Collaborator Contribution At least one paper has been written and will be submitted soon.
Impact Still pending
Start Year 2019
 
Title Scamp5d semi-simulation platform with Coppeliasim Robot Simulator 
Description Software that allows a robot simulator to be used as input to the Pixel Processor Array SCAMP-5 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact Winner of best poster paper at the IEEE ICRA 2021 workshop On- and Near-sensor Vision Processing, from Photons to Applications (ONSVP) 
URL https://github.com/yananliusdu/scamp5d_interface
 
Description Inaugural Keynote, Encuentro Nacional de ComputaciĆ³n (ENC) Conference 2021 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Opening Keynote at the main Annual event organized by the Mexican Society of Computer Sciences. This is the principal academic event in Mexico in Computer Science. It is attended (this year online) by students from undergrad to post doctoral as well as by principal investigators and scientific leadership in CS in Mexico.
Year(s) Of Engagement Activity 2021
URL http://computo.fismat.umich.mx/enc2021/
 
Description Invited talk: Towards Integrated Perception and Control for UAVs with Pixel Processor Arrays 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This was an invited talk at this leading workshop on agile perception for UAVs as part of the IROS conference in Vancouver, CA.
Year(s) Of Engagement Activity 2017
URL http://www.seas.upenn.edu/~loiannog/workshopIROS2017uav/
 
Description Keynote at 1st Autonomous Vehicle Vision Workshop at Winter Applications of Computer Vision conference (WACV) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Keynote talk at specialist workshop
Year(s) Of Engagement Activity 2020,2021
 
Description Keynote at IEEE ICRA 2021 Workshop On- and Near-sensor Vision Processing, from Photons to Applications (ONSVP) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Keynote at specialist workshop
Year(s) Of Engagement Activity 2021
URL https://sites.google.com/view/onsvp-icra-2021-workshop/home
 
Description Popular article about this research 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact https://www.techradar.com/news/ai-security-cameras-inspired-by-frog-eyes-could-be-coming-soon
Year(s) Of Engagement Activity 2021
URL https://www.techradar.com/news/ai-security-cameras-inspired-by-frog-eyes-could-be-coming-soon
 
Description Popular article about this research -Photonics World 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact News article about our work in this award
Year(s) Of Engagement Activity 2021
URL https://www.photonics.com/Articles/SCAMP_Brings_Computer_Vision_Closer_to_Natural/a66564