Training the next generation of world-class researchers in RAS is key to enhance the economic competitiveness of the UK. As part of the investment in robotics technologies from the UK government through the EPSRC, four Centres for Doctoral Training (CDTs) were established in Bristol, Edinburgh, Loughborough and Oxford.
Bristol Robotics Laboratory
BRL's interdisciplinary research portfolio addresses key robotic capabilities and applications including: 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 FARSCOPE CDT is delivered jointly by the University of Bristol and the University of the West of England through their partnership, the Bristol Robotics Laboratory.
Edinburgh Centre for Robotics (University of Edinburgh & Heriot-Watt University)
The Edinburgh Centre for Robotics produces innovation ready postgraduates equipped through technical preparation, and cohort-wide training with scientific, creative, ethical and enterprise skills, in programmes supported by User partners operating in RAS crucial market sectors including oil and gas, defence, renewable energy, healthcare, assisted living, transport, space, automotive, manufacturing, nuclear, digital media and education. The goal of the CDT is to train innovation-ready robotics researchers to be part of a multi-disciplinary enterprise, requiring sound knowledge of physics (kinematics, dynamics), engineering (control, signal processing, mechanical design), computer science (algorithms for perception, planning, decision making and intelligent behaviour, software engineering), as well as allied areas ranging from biology and biomechanics to cognitive psychology.
Embedded Intelligence is the integration of intelligence into products, processes and services so that (1) they work better and (2) increase productivity, efficiency and connectivity. This Centre addresses high priority areas for economic growth such as autonomous complex manufactured products and systems, functional materials with high performance systems, data-to-knowledge solutions (e.g. digital healthcare and digitally connected citizens), and engineering for industry, life and health.
The students follow a bespoke, industry-informed programme of training with focused, deep technical training and experience in an embedded intelligence thematic area central to their doctoral studies. This is complemented by group and individual industry-led projects from the first month of studies; translational training in essential underpinning knowledge for embedded systems and technology; and transferable skills to fulfill the expectations for future leadership roles in industry, in society and as entrepreneurs.
University of Oxford
The aim of the CDT is to train a world-class cohort of researchers in the theory and practice of a new generation of autonomous intelligent machines and systems. Training will be provided in four interconnected skills areas the synthesis of which is key to building autonomy in AIMS applications. Robotics, Vision and Perception skills area is looking at autonomous systems to identify and interpret complex scenes, from moving vehicles to human activity and form robust situation assessments to enable appropriate action and decision making. Control & Verification skills area aims to develop effective techniques to monitor and control intelligent machines, such as those used in manufacturing, transportation and biosensing/healthcare systems, and to ensure their safety and dependability. Machine Intelligence & Multi-Agent Systems skills area is focusing on machine autonomy and intelligence ubiquitous; allowing machines to discreetly pervade the world around us and assist us. M2M, Secure Sensing & Actuation skills area investigates the vision of connecting intelligent devices seamlessly and everywhere and to allow them to share their sensing, monitoring and actuating capabilities.