Communities
At YorRobots, we believe that collaboration and knowledge-sharing are key to driving innovation and impact. Explore the communities we’re engaged with and learn how our partnerships are building a more connected and innovative future.
First cohort recruited: 8 students supervised by colleagues from 6 Departments, namely, Chemistry, Computer Science, Mathematics, PET, Psychology, Sociology. Industry engagement established with in-kind and financial support. Presence in the TAROS conference (dedicated session).
Within the last 18 months we have created the first dedicated automated robotics for chemistry laboratory (Department of Chemistry), using mainly commercial robotic systems and in-house developed flow chemistry systems. Work on the design and development of autonomous work-flows is currently underway. The laboratory links squarely with principle aims of the ALBERT mini-CDT. Two PhD students, working in ISA, are developing the use of robotic arms for Schlenk line manipulations - presently they are conducted by people, by hand, across many Chemistry research labs around the world. Our work in this area is supported by machine learning. There are aspirations to develop the use of AI in the Chemistry environment, linking with AIChemy Hub (led out of the University of Liverpool).
This is a group associated with a 10-year project funded by the AHRC that has just started. The study of ancient biomolecules has revolutionised the understanding of the past and is one of the fastest growing fields in heritage science. The BioArCh research centre stands at the forefront of this field and excels in biomolecular analysis. Robotics is going to be used to automate pipetting of liquid for various archaeological science research. Automation builds upon positive results from three YorRobots internships.
The Psychology Department’s Lifelike Lab studies complex decision-making in humans. This work includes computational modeling of decision-making under environmental threat and decision-making in collaboration with autonomous systems. The lab also studies social interaction, including human-robot interaction and human-AI interaction.
Within the School of PET the group’s main areas of interest include: Sustainable, nature-inspired robotics; Self-aware and self-learning, connected, explainable data (sensor)-driven robots; Modular, adaptive, multi-modal versatile robot ecosystems. With a focus on: Biologically-inspired computation and design; Medical and assistive robotics; Sensors and communications for autonomy; and Modular robotics for multi-environments (land, water, air, space).
Long-standing international reputation for research into scheduling and timing analysis of dependable systems. Some of this work has been applied to the control, monitoring and communications of robotic systems including swarm robotics. Recent work has looked at enhancing the comprehension of the biological underpinnings for lifelong learning, including adaptability and autonomy exhibited by animals, as well as creating innovative machine intelligence solutions, robotic systems, and applied control systems characterized by greater adaptability, resilience, and energy efficiency.
Established as a centre of excellence, with presence in six countries, carrying out funded work, and with three initiatives of technology transfer to industry in the UK, France, and Germany. A “brand” internationally recognised, with colleagues aspiring to join. Research and development covers various aspects of model-based software engineering: modelling, simulation, testing, and verification, covering control software, physical models of the platform and scenarios, environment assumptions, and human behaviour. It is one of the largest research groups in the world that brings a diverse membership of researchers working in robotics under a single umbrella.