Events
ARQ at EECS Research Week 2020
Robotic projects at QMUL
Date: 25 November 2020 11:00 - 12:00
Location: Online
The Centre for Advanced Robotics @ Queen Mary (ARQ) is a cross-faculty multidisciplinary research centre which brings under one roof the different robotics-related activities performed at the Queen Mary University of London (QMUL). The main objective of ARQ is to facilitate collaborations within QMUL to reach critical mass and maximise societal impact. While interacting with different stakeholders from the industry and from the society at large, the members of ARQ provide world-class research and deliver advanced teaching programmes to both undergraduate and postgraduate students. The Centre is home to more than 50 researchers, including academics, research assistants and PhD students.
In this webinar, you will learn more about our research activities in the areas of soft robotics, human-robot interaction, robotic solutions for hazardous environments, robots for industrial manufacturing, space robotics, robotic locomotion, assistive robotics, cognitive robotics, artificial intelligence, tactile sensing, haptics, Virtual Reality and wearable technologies.
Registration
https://www.eventbrite.co.uk/e/eecs-research-week-2020-tickets-121513719807
Programme
- Professor Kaspar Althoefer, Head of Centre for Advanced Robotics, (EECS)
- Perception in soft robots
- Eversion robots to the rescue: new approaches to handle disaster situations
- Inflatable robot links: a solution for human-robot cooperation in industry
- Dr Lorenzo Jamone (EECS)
- Cognitive Robotics: understanding humans to create the robots of the future
- Using magnetism and soft materials to provide robots with a sense of touch
- Dr Ildar Farkatdinov (EECS)
- Wearable robots to support mobility
- Haptic interfaces for human-machine interaction
- Robotics and virtual reality
- Dr Angadh Nanjangud (SEMS)
- Space robotics technologies for constructing large space structures
- Dr Ketao Zhang (SEMS)
- Legged mobile robots:?leveraging mechanical intelligence for high-speed locomotion
Updated by: David Lockwood