Recent advances for prediction of human actions in HRI, its use for automotive systems and teleoperation

Guido Herrmann

[Abstract]

This talk will provide a short introduction into methods for predicting human decisions in human robot interaction. This is specifically explained and exemplified for the problem of human-vehicle interaction, i.e. suiting a (semi-)autonomous drive scenario. However, this may also fit a general human-robot interaction scenario, even tele-operation. Hence, we will shortly summarize work on teleoperation for a major UKproject on nuclear robotics, RAIN. RAIN is a ￡12m, multi-university project, funded by the EPSRC-UKRI and matched funding from industry. It develops a multitude of robotic systems for harsh conditions, specifically the nuclear sector, e.g. nuclear decommissioning.

[Biography]
Dr Guido Herrmann (Reader -Associate-Professor in Control and Dynamics, University of Bristol, FIET, SenMIEEE) obtained his first degree, MS+BSc, from the Technical University of Berlin, Germany, in 1997, and his PhD in Control in 2001 from the University of Leicester, UK. He joined the University of Bristol, UK, in 2007 after working in Singapore and Leicester. He will join on 1 July 2019 the University of Manchester as a Chair in Robotics. He was the chair of two international conferences in robotics. He was a member of the Editorial Board cohort 2010-15 of the IEEE/ASME Transactions in Mechatronics and he has been an editorial board member of Springer’s International Journal on Social Robotics since 2009.
Guido Herrmann’s research interests are in the development of novel robust and adaptive controllers. Results in nano-precision servo control, in robotics and in automotive systems have been developed together with industrial companies such as Western Digital, Jaguar Land Rover, Tata UK or Vector Informatik.
His specific interest in robotics has been to develop control and estimation approaches which help in human-robot interaction and humanoid arm control. Some of these approaches have been applied to the automotive sector and the robotics sector for the nuclear industry.