This talk presents advances in autonomous drone decision-making and control using machine learning, focusing on single-drone control and multi-drone coordination.

Modular reconfigurable systems are key for space robotics and these systems need decentralized, adaptable communication protocols that work across physical and protocol levels and integrate new components.

Dr Calum Imrie will give an overview about the practicalities of deploying autonomous systems

Dr. Hyung Jin Chang will present his research on human-centred visual learning, the primary goal is to create vision-based algorithms that prioritise the usability and usefulness of AI systems by addressing human needs and requirements.

Dr Edward Johns will present his research from the past year in his lab which aims towards more practical robot learning without huge data requirements.

Professor Mehmet Dogar will present their work on robotic object manipulation, particularly, robot motion planners and controllers that use predictions about the motion of contacted objects.

Dr Babar Jamil will present the work in designing new robotic systems that share the physical features of soft and rigid structures, thereby, taking advantage of compliance of soft actuation and accuracy of rigid structures.

Prof. Charlie C. L. Wang will develop the fundamental challenges in soft robotics and will introduce solutions to these.

Dr Jihong Zhu will develop the fundamental challenges and promising applications in deformable object manipulation.

Dr John Oyekan, Senior Lecturer in the Department of Computer Science will be presenting this seminar.

Join us for the launch of a Centre for Doctoral Training in Autonomous Robotic Systems for Laboratory Experiments.

Join us for this information event (and free pizza) to find out more about the Venables summer internships.

The programme is now confirmed for the Industry Exhibition 2022, taking place at the University on 11 and 12 October.

Please note this event has been POSTPONED. Professor Cecilia Mascola joins us to discuss the challenges and opportunities that mobile and wearable health systems are introducing for the community, the developers and the users.

Come along to our recruitment event to find out more about the internship, look at projects from previous students, ask questions and meet students and supervisors.

All York students have the opportunity to compete for the grand prize

Professor Emma Hart discusses challenges in manufacturing robots autonomously, and proposes methods to address these.

An introduction to The National Nuclear User Facility for Hot Robotics.

Presentations from Professor Dr. A.E. Eiben on evolving real robots for engineering and research, and Kennedy Edeye on the use of Robotics in the management and conservation of the Pemba Channel seafloor, Tanzania.

Dr Annette Zimmermann will develop three arguments for why scrutinizing available decision landscapes matters in our pursuit of algorithmic fairness.

YorRobots hosts a poster session showcasing the work of eleven undergraduate interns.

Themis Prodromakis presents the challenges in manufacturing and using new AI technologies and examples on how these can be used in practical applications: from bio-electronic medicines to 'AI on a chip' solutions.

This event consists of talks and show-and-tell activities shared between academic staff from the University of York and potential industrial collaborators.

In response to concerns over the ethical and societal impact of robotics and AI a new generation of ethical standards are emerging.

YorRobots are holding another sandpit event to create ideas for multi-disciplinary proposals for research projects across UoY Departments in the areas of robotics & autonomous systems.

The area of autonomous systems is expanding at an incredible rate, with Human Machine teaming systems appearing in a number of very different sectors.

YorRobots are holding a two-day sandpit event to create ideas for multi-disciplinary proposals for research projects across UoY departments in the areas of robotics & autonomous systems.