YorRobots seminar series
Our seminar series showcases the work of York and collaborators in the area of robotics.
Speakers include academics at York and other institutions, industry experts and our own students. In the seminar schedule, you can find the future seminar speakers.
Past seminars
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Zero-shot, One-shot, and Few-shot Robot Learning
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.
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Towards Physics-Based Manipulation in Mixed (Rigid-and-Soft) Multi-Object Containers
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.
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Design, Sensing, and Control of Hybrid (Soft/Rigid) Robots
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.
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Simulation, Sensing and Control of Soft Robots
Prof. Charlie C. L. Wang will develop the fundamental challenges in soft robotics and will introduce solutions to these.
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Deformable Object Manipulation: fundamental challenges and promising applications
Dr Jihong Zhu will develop the fundamental challenges and promising applications in deformable object manipulation.
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Towards the Autonomous Evolution of Robotics Ecosystems
Professor Emma Hart discusses challenges in manufacturing robots autonomously, and proposes methods to address these.
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National Nuclear User Facility for Hot Robotics
An introduction to The National Nuclear User Facility for Hot Robotics.
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Evolving embodied intelligence and Use of Robotics in the Management and Conservation of the Pemba Channel Tanzania
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.
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Algorithmic fairness and decision landscapes
Dr Annette Zimmermann will develop three arguments for why scrutinizing available decision landscapes matters in our pursuit of algorithmic fairness.
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Embedding artificial intelligence on chips
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.
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The Human Machine Teaming lessons to be learned from UAV accident investigation work
The area of autonomous systems is expanding at an incredible rate, with Human Machine teaming systems appearing in a number of very different sectors.