The Adaptive Systems Research Group is a multidisciplinary group of 7 faculty members, students and research staff who carry out research in the field of Adaptive Systems. Since 2008 the group has developed the Robot House (RH), a typical British home situated in a residential area off-campus, transformed into a smart home including a number of autonomous robots.
The Autonomy USRG, led by Prof. Jim Scanlan from the University of Southampton undertakes cutting edge research into autonomous systems in sensing, computing, communications and platforms in order to provide world class, cost effective capabilities for society to develop and maintain a low carbon economy, for earth science and other applications operating at all elevations from sub-sea, surface, land, air and space.
CBRL's interdisciplinary research portfolio addresses: embedded intelligence, autonomous robot systems, human-robot interaction, energy autonomy, collective locomotion, tactile sensors and haptic feedback systems, motion tracking/positioning systems, unmanned aerial vehicles, swarming behaviour, dependability, wearable and pervasive systems, medical and rehabilitation robotics, machine vision, and bio-inspired architectures.
The CDT brings together diverse areas of expertise to train engineers and scientists with the skills, knowledge and confidence to tackle today’s evolving issues and future challenges. We see Embedded Intelligence (EI) as the integration of intelligence into products, processes and services so they work better and can increase productivity, efficiency and connectivity. EI is multidisciplinary by nature and underpinned by diverse areas of expertise.
The Centre for Advanced Robotics @ Queen Mary (ARQ) is a research centre within the two Queen Mary’s engineering schools: The School of Electronic Engineering and Computer Science (EECS) and The School of Engineering and Material Science (SEMS). Founded in 2016, ARQ aims to bring a range of activities under one roof, increasing visibility, facilitating collaboration, public engagement and moving towards critical mass.
The vision of the Centre for Robotics and Autonomous Systems is to pioneer new developments for the future of robotics. As a collaborative environment we enable and nurture interactions of academics from all disciplines as well as industrial partners. We aspire to come up with new ideas and solutions to develop and build robotic and autonomous systems that are fit-for-purpose for the future in terms of technological innovation, safety and ethical considerations, as well as social and civic responsibility.
Centre for Robotics Research (CORE) is to develop world-leading solutions to critical challenges faced in society where robot-centric approaches can improve outcomes. Projects largely revolve around medical themes, while recent research efforts have expanded that remit to include horticulture/agriculture, manufacturing and humanitarian demining.
The Centre is a collaborative venture between University of Edinburgh and Heriot-Watt University. The underlying theme running throughout the centre's research is interaction. The robotics infrastructure includes the Atlas robot, the PR2 robot, the Baxter bimanual manipulation platform and several prosthetics platforms, monitoring devices and immersive work cell setups, as well as UAVs, marine technology and immersive virtual reality systems.
The Essex Robotics group concerns with the development of various kinds of embedded systems and intelligent robots that will be used in environments coexisting with humans. These systems and robots are mobile, autonomous, interactive and intelligent, and will be useful assistants / companions for people in different ages, situations, activities and environments in order to improve the quality of life. It is one of the large mobile robotics groups in the UK, with advanced mobile robotics research facilities.
The Centre for Intelligent Autonomous Manufacturing Systems (i-AMS) at Queen’s spans the disciplines of Electrical/Electronic/ Mechanical/ Aerospace Engineering, Computer Science, Applied Mathematics, Statistics, and Psychology, working together to develop innovative technologies and solutions to address the challenges of Industry 4.0. of the art industrial scale equipment to further investigate digital and autonomous manufacturing.
The Intelligent Robotics Laboratory at the University of Birmingham performs research at the interface of AI and robotics. We develop generic technologies for autonomous robotics. We specialise in robot vision, robot task planning, and robot manipulation. The lab is part of an interdisciplinary centre for Computational Neuroscience and Cognitive Robotics.
LIRA is formed around the autonomous and intelligent systems research at the School of Computing and Communications, SCC (large projects with aerospace and defence industry – BAE, Thales, QinetiQ - on sense and avoid, re-routing, ISTAR and on board real-time video processing for object detection and tracking, civil aviation safety and maintenance as well as intelligent transport through RRUKA.
The Oxford Mobile Robotics Group (MRG) is all about Mobile Autonomy. The group was founded in 2003 and is lead by Prof. Paul Newman and Prof. Ingmar Posner. We are a vibrant and innovative research team. We research many aspects of mobile autonomy with a particular emphasis on navigation, perception and understanding of large workspaces.
Four skills areas key to building autonomy in AIMS applications - Robotics, Vision and Perception: identify and interpret complex scenes, enable appropriate action and decision making. Control & Verification: monitor and control intelligent machines. Machine Intelligence & Multi-Agent Systems: machine autonomy and intelligence ubiquitous; allowing machines to discreetly pervade the world around us.
Robotics and Autonomous Systems: The Smart and Connected Vehicle, this EPSRC RAS Capital facility is to create an interactive drive in, driver-in-the-loop simulator, integrated with hardware-in-theloop, infotainment and communication simulation, a multi-sensory virtual environment, realworld environment and modular autonomous systems workbench; supported by high performance computing and data storage.
At Leeds we are driving innovation in this growing area of technology leveraging a network of more than 100 researchers across multiple disciplines with a shared interest in robotics and artificial intelligence. We are performing world leading research in medical robotics, field and infrastructure robotics, artificial intelligence and enabling technologies for autonomy in robotics.
The Robotics Group conducts research into the use of mobile robots in extreme environments. The primary focus of the work is aimed at nuclear decommissioning, but there is also research on robots for the energy sector (offshore wind and substation inspections). The group brings together the Schools of Electrical and Electronic Engineering (EEE), Mechanical, Aerospace and Civil Engineering (MACE) and Computer Science (CS).
We conduct research in key areas of innovative design of robotics for in-situ repair/maintenance of high-value industrial assets and automation of production lines utilising intelligent robotic systems and algorithms. We have slender multi-degree of freedom continuum robots for in-situ aero-engine repairs, walking machine tools for high precision machining repairs of nuclear equipment, teleoperated robotics systems for repair and maintenance.
The Autonomous Systems and Robotics Research Centre’s activities originate in 1987 when Salford was chosen as the site of the UK’s National Advanced Robotics Research Centre. The centre has very close links with other research institutes and strong and historic links with industry, particularly through the industrial advisory board of the Northern Robotics Network, of which Prof Nefti-Meziani is a founder member.
A joint facility has been established between Sheffield Robotics and the University of Liverpool, focussing on Human-Machine Co-operation in Robotics and Autonomous Systems. More specifically, it supports research in autonomous systems that will lead directly to improvements in core technologies important to the UK economy. The interdisciplinary nature of the facility enables a broad range of innovative research.
The STAR Lab leads Surrey's involvement within the UK-RAS Network, and was an active participant and co-organizer to the UK Robotics Week. It is also the hosting research group of the EPSRC/UKSA national hub on Future AI & Robotics for Space (FAIR-SPACE). Other international community activities include leading the IEEE-CIS Task Force on Intelligent Space Systems and Operations, UK-RAS White Paper on Space Robotics, TAROS 2017, etc.
The Micro-Engineering Facility for Medical Robotics at the Hamlyn Centre is focused on the development of miniaturised robots for surgery, targeted therapy with micro-instruments and smart actuators with integrated sensing and imaging, supported by advances in materials, micro-fabrication, micro-machining, and rapid prototyping technologies.
L-CAS is based in the School of Computer Science at the University of Lincoln. L-CAS specialises in technologies for perception, learning, decision-making, control and interaction in autonomous systems, especially mobile robots and robotic manipulators, and the integration of these capabilities in application domains including agri-food, healthcare, intelligent transportation, logistics, nuclear robotics, and service robotics.
The UCL EPSRC RAS capital facility is focused on robotic teleoperation for multiple scales to enable exploration, manipulation and assembly tasks in new worlds beyond human capabilities. The team will work on devices, which allow operators to manipulate micro-, and nano-scale objects as if they were holding and touching them in their hands, technology useful for a broad range of applications from material science to microbiology and nanomedicine.
The YRL was established in 2012 as a joint venture between the Departments of Computer Science and Department of Electronics and is located on the Heslington East campus at York. The Lab provides state of the art facilities for robotics research and teaching and brings together expertise from a wide range of science and engineering areas, including computer science, electronics, biology, environment and mathematics.