Emerging technologies: Robotics and autonomous systems

Overview
Speakers

Academy reports related to the event:

Strategic advantage through science and technology: the engineering view

Join us for a fascinating talk as our panel of experts delve into robotics and autonomous systems.

During the discussion, the panel will consider the problems that AI can solve and explain the anticipated applications of this emerging technology. They will also question the problems that come with developing robots – for instance, can we trust them?

There will be a chance to ask the panellists your questions, so register above to join this engaging chat, either in the live audience at the University of York, or online.

Hosted by the writer, broadcaster and comedian, Timandra Harkness. She has written for newspapers and magazines including the Daily Telegraph and WIRED. She is the author of the book Big Data: Does Size Matter?

Speakers:

- Professor Ana Cavalcanti, University of York, Royal Academy of Engineering Chair in Emerging Technologies in Software Engineering for Robotics: modelling, validation, simulation, and testing

- Professor Michael Fisher, University of Manchester, Royal Academy of Engineering Chair in Emerging Technologies in Responsible Autonomous Systems

- Professor Danail Stoyanov, University College London, Royal Academy of Engineering Chair in Emerging Technologies in Robotic Actuated Imaging Skins

- Professor Jonathan Rossiter, University of Bristol, Royal Academy of Engineering Chair in Emerging Technologies in Smart Materials and Mechanisms for Ubiquitous Soft Robotics.

Professor Ana Cavalcanti

Ana Cavalcanti is a Professor at the University of York, and a Royal Academy of Engineering Chair in Emerging Technologies. She is the leader of the RoboStar centre of excellence on software engineering for robotics. The RoboStar approach to model-based software engineering complements current design and verification practices for mobile and autonomous robots, covering simulation, testing, and proof. The RoboStar approach is practical, supported by tools, and yet mathematically rigorous so that it can provide reliable evidence of trustworthiness.