Knowing the Where and the What - Foundational Technologies for Modern Robotics
Robotics Science has a huge role to play in our economy; I will explain why, how and when. In particular I will focus on autonomous mapping and navigation -foundational technologies which will underpin much of how we move goods, people and stuff in coming years. I will highlight the technologies' impact pathway by considering some example application domains - autonomous cars, logistics, rail and asset monitoring. I will make the case that imbuing machines with an intrinsic ability to assess "where and what" leads directly to a full spectrum of exploitation opportunities.
Paul Newman is the BP Professor of Information Engineering at the University of Oxford and an EPSRC Leadership Fellow. He heads the Mobile Robotics Group within the Department of Engineering Science which enjoys a world leading reputation in mobile autonomy - developing machines, robots and cars which map, navigate through and understand their environments. Paul previously worked in the commercial sub-sea navigation sector, during which time he wrote software now used across the industry. In early 2003 he returned to Oxford as a Departmental Lecturer in Engineering Science, before being appointed to a University Lectureship in Information Engineering. He then became a Fellow of New College in 2005, Professor of Engineering Science in 2010, and BP Professor of Information Engineering and Fellow of Keble College in 2012.