ARQ - the Centre for Advanced Robotics at QMUL

Performance Artist Stelarc visits the Centre for Advanced Robotics @ Queen Mary Stelarc, a world-renowned performance artist who pioneered movement augmentation and explored human body and technology interaction in his works was a guest speaker at a special seminar organised by of the Centre for Advanced Robotics @ Queen Mary University of London 25 May 2023. Stelarc shared hi...

Queen Mary Researchers Create Innovative Sensor to Enhance Robots' Tactile Capabilities Researchers from Queen Mary University of London, along with collaborators from China and USA have developed an L3 F-TOUCH sensor to enhance tactile capabilities in robots, allowing it to "feel" objects and adjust its grip accordingly. Achieving human-level dexterity during manipulation and grasping...

Professor Kaspar Althoefer co-chairs the prestigious IEEE International Conference on Robotics and Automation 2023 The largest and most prestigious conference on robotics, IEEE International Conference on Robotics and Automation 2023 (ICRA) was held in the ExCeL centre, London, May 29 - June 2, 2023. The conference was co-organised by the Centre of Advanced Robotics at Queen Mary (ARQ) and was co-chaired by Prof...

QMUL School of Electronic Engineering and Computer Science News article on ARQ - the Centre for Advanced Robotics at QMUL recent project on robotic interfaces for virtual reality:

http://eecs.qmul.ac.uk/news-and-events/news/items/a-novel-robotic-interface-for-walking-in-virtual-reality-developed-at-queen-mary-university.html

A new video from ARQ - the Centre for Advanced Robotics at QMUL presents a novel ankle-based robotic interface for walking in virtual reality. The system is developed by PhD student Ata Otaran, supervised by Dr Ildar Farkhatdinov, Human Augmentation and Interactive Robotics team (HAIR)

https://www.youtube.com/watch?v=OicUbh_kaYQ

The paper describing the system is available (open access) here:
https://ieeexplore.ieee.org/abstract/document/9535237
A. Otaran and I. Farkhatdinov, "Haptic Ankle Platform for Interactive Walking in Virtual Reality," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2021.3111675."

Robotic ankle platform for interactive walking in virtual reality with haptic feedback "Authors: Ata Otaran, Ildar Farkhatdinovhttps://www.robotics.qmul.ac.ukOpen access paper: https://ieeexplore.ieee.org/abstract/document/9535237A. Otaran and ...

Queen Mary University of London School of Electronic Engineering and Computer Science has several academic posts in AI/ML/Data Science and Electrical Engineering potentially relevant to robotics/control systems:

Lecturer/Senior Lecturer posts (Permanent, equivalent to Assistant/Associate Professor):

x4 in Computer Science (including AI/ML):
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=6022

x2 in Electrical/Electronic Engineering (including Control and Power Engineering):
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=6023

x1 3 years post-doctoral fellowship in AI/ML (sponsored by Google DeepMind):
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=5875

Note, that the deadlines are different.

Queen Mary students learn how to design, prototype and programme robots at home. Despite COVID-19 restrictions students on the robotics programme at QMUL taught by the School of Engineering and Materials Science, and by the School of Electronic Engineering and Computer Science were still able to successfully learn how to design, prototype and programme robots.

Read full story:
http://eecs.qmul.ac.uk/news-and-events/news/items/queen-mary-students-learn-how-to-design-prototype-and-programme-robots-at-home.html

QMUL School of Engineering and Materials Science
QMUL School of Electronic Engineering and Computer Science

Queen Mary students learn how to design, prototype and programme robots at home - School of Electronic Engineering and Computer Science Despite COVID-19 restrictions students on the robotics programme at QMUL taught by the School of Engineering and Materials Science, and by the School of Electronic Engineering and Computer Science were still able to successfully learn how to design, prototype and programme robots.