Industry Seminar: Perspectives in Robotics and Control Technologies for Smart & Sustainable Mobility
22 March 2023, 4:30 pm–7:30 pm
Join our academics and invited industry speakers to discuss the opportunities and challenges of applying robotics and automation technologies for smart and sustainable mobility and hear how they drive their efforts to address them. A drink reception will follow the talks.
This event is free.
UCL Robotics Institute
Drama StudioUCL IOE Building20 Bedford WayLondonWC1H 0AL
This is an in-person event.
Registration for the event has ended. Thank you very much for your interest.
About the Seminar
This industry seminar aims at promoting discussions and advancing research in robotics and autonomous systems in autonomous vehicle technology and intelligent mobility. This workshop will gather experts from the areas of transportation, robotics and control, human factors, and urban planning to identify challenges and opportunities for the future of transportation that are triggered by the advent of CAVs. UCL academics will present their relevant research in the field. Industry presenters will share insights from early deployments and the challenges encountered. The seminar is set to turn such insights into an actionable research roadmap.
|16:30 – 16:40
|Registration and Welcome
|16:40 – 16:55
|Ben Upcroft – Oxbotica
Oxbotica - Universal Autonomy
|16:55 – 17:10
|Bani Anvari – Intelligent Mobility @ UCL
The autonomous vehicle take over
|17:10 – 17:25
|Clare Mutzenich – Associate Director of 7th Sense Research
Human in the loop: Using the remote operator role to progress public perception of CAVs
|17:25 – 17:40
|Junyan Hu – UCL Computer Science
Cooperative Control of Swarm Robotics
|17:40 – 17:55
|Karla Jakeman – Head of Automated Transport at TRL
TRL’s CAM Strategy
|17:55 - 18:10
|Boli Chen – UCL Electronic and Electrical Engineering
Optimal Control Technologies for Smart and Sustainable Mobility
|18:10 – 18:40
|18:40 – 18:45
|18:45 – 19:30
This is an in-person event.
Seats are limited. please register early!
Registration closes on 17 March 2023.
About the Speakers
Prof Bani Anvari
Director of the Intelligent Mobility Group at University College London
She received a Bachelor of Science (BSc) in Civil Engineering from the University of Science and Culture (Iran) in 2008. She completed her Master of Science (MSc) in Advanced Architectural Studies at the Bartlett School of Architecture (University College London) in 2009. Her PhD research at Imperial College London focused on a new microscopic model for the simulation of shared space schemes. From 2013 to 2016, she was a Research Associate in the Centre for System Engineering and Innovation / Port Operations Research and Technology Centre and Lloyd’s Register Foundation Transport Risk Management Centre at Imperial College London. From 2016 to 2017, she was a Lecturer in Intelligent Mobility in the Transport Research Group (TRG) at the University of Southampton. Since 29 January 2018, she is a lecturer in Intelligent Mobility at the Centre for Transport Studies within CEGE in the Faculty of Engineering at UCL.More about Prof Bani Anvari
Dr Boli Chen
Electronic and Electrical Engineering at University College London
Dr Boli Chen received the PhD degree in Control Systems from Imperial College London, UK in 2016. He is currently a Lecturer in the Department of Electronic and Electrical Engineering at University College London, where he is associated with the Sensors Systems and Circuits research group and the UCL Robotics Institute. His research focuses on control, optimisation and estimation of complex dynamical systems, with applications focusing on the automotive and power electronics areas. He is currently an associate editor of European Journal of Control and an associate editor of the EUCA (European Control Association) Conference Editorial Board.More about Dr Boli Chen
Dr Clare Mutzenich
Associate Director at 7th Sense Research
Clare is Associate Director of 7thSense Research and has led a wide range of projects for UK, European and US clients in transport, education, UX design and customer insights and advising on strategies for the safe adoption of new technologies. Clare holds an ERSC funded PhD from Royal Holloway, University of London on the topic of Situation Awareness in Remote Vehicle Operators. Her doctoral research examined what level of situation awareness is sufficient to control a vehicle remotely, how much exposure is required to build up this level of awareness and whether the provision of additional information (e.g. additional camera feeds, stereoscopic vision, VR) can improve awareness levels in remote operators.More about Dr Clare Mutzenich
Dr Junyan Hu
Computer Science at University College London
Junyan is currently a Lecturer (Assistant Professor) with the Department of Computer Science, University College London (UCL). Prior to joining UCL, he worked as a Research Associate in Robotics at the University of Manchester. He serves as an Associate Editor for leading international journals and conferences in the field of robotics and artificial intelligence, such as IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA). He is a Member of IEEE-CSS Technical Committee on Networks and Communication Systems, IEEE-RAS Technical Committee on Multi-Robot Systems, and IFAC Technical Committee on Large Scale Complex Systems.More about Dr Junyan Hu
Head of Automated Transport at TRL
Karla is Head of Automated Transport at TRL. She has over 25 years’ experience in the transport industry including connected and automated transport, active travel, ITS, highways, geospatial tech in transport and was formerly a Design Quality Engineer. In line with TRL’s mission to create clean and efficient transport that is safe, reliable and accessible for everyone, Karla’s focus is a connected and automated transport system which enhances everyone’s quality of life, the environment, and the economy.More about Karla Jakeman
VP of Technology at Oxbotica
Ben is the VP of Technology at Oxbotica, with extensive experience in perception systems for field robotics ranging from commercial passenger vehicles, all-terrain vehicles, draglines, haul trucks, underwater platforms, to unmanned aerial vehicles. He balances state of the art algorithms with real world system implementation to achieve intelligence in self-driving platforms - on and off road.
Ben's previous life was as a tenured academic in Computer Vision and Robotics at the Queensland University of Technology, Australia where he focussed on machine learning for field robotics.More about Ben Upcroft