ECR Staff to lead Research Nodes as part of the UKRI Trustworthy Autonomous Systems Programme

The UK Research  and Innovation (UKRI) has launched six new research projects or, “nodes” aimed at tackling challenges to the development of autonomous systems.  These are part of the Trustworthy Autonomous Systems (TAS) programme which will undertake fundamental, creative and multidisciplinary research in various areas key to ensure autonomous systems can be built in a way society can trust and use.

The Edinburgh Centre for Robotics has been awarded funding for two nodes:

Report on our Annual Conference, October 6th 2020

Our annual conference took place online this year, and we found it to be just as engaging and diverse as ever.  We were joined on Zoom by four keynote speakers, and about 100 students, staff and industry representatives. 

We kicked off with Keynote speaker Professor Metin Sitti from Max Planck institute who did a talk on soft-bodied small scale robotics that featured memorable robots modelled after baby jellyfish. 

IPAB Workshop: Online Dynamic Trajectory Optimization and Control for a Quadruped Robot; Joint semantic segmentation and disparity learning

Date: 
Thu, 05/11/2020 - 13:00 to Fri, 06/11/2020 - 13:45
Location: 
Online
Speaker: 
Oguzhan Cebe, Hanz Cuevas Velasquez
University of Edinburgh

The next IPAB Workshop will take place 05/11/2020 at 1pm via Blackboard Collaborate - Oguzhan Cebe, Hanz Cuevas Velasquez will be speaking.

You will find the link in your emails.

 

Speaker: Oguzhan Cebe

Title: Online Dynamic Trajectory Optimization and Control for a Quadruped Robot

Welcome to Dr. (Chris) Xiaoxuan Lu !

We would like to welcome (Chris) Xiaoxuan Lu as a supervisor for the Edinburgh Centre for Robotics! He is the new Lecturer in Cyber-Physical Systems in the School of Informatics at The University of Edinburgh. His research interests broadly lie in mobile autonomy, perception and sensing (MAPS), with the focus on spatial AI under visual degradation, fog Robotics and edge IoT, RF and multi-modal sensor fusion; secure and privacy-aware autonomous systems.