Agriculture and food supply is the largest industry in the UK, but it faces significant challenges of transformation needs because of wage increase, geopolitical uncertainties (Brexit) and health and safety concerns (COVID-19).
Despite the increasing demands, the automation of processes that are currently being performed by human labourers is not trivial for many reasons, not only the cost and the efforts, but also the fundamental lack of technologies.
In this talk, Dr FumiyaI Lida will introduce the team’s efforts to analyse the landscape of challenges in the agri-food sectors from the technologist’s viewpoint and discuss what the problems that we can solve today are, as well as the challenges for the future.
11 June 2020, 11:00 – 12:00
This event will be held on Microsoft Teams
Bio:
Fumiya Lida is a university reader at Department of Engineering, University of Cambridge, the director of Bio-Inspired Robotics and the deputy director of EPSRC Centre of Doctoral Training in Agri-Food Robotics. He received his bachelor and master degrees in mechanical engineering at Tokyo University of Science (Japan, 1999), and Dr. sc. nat. in Informatics at University of Zurich (2006). In 2004 and 2005, he was also engaged in biomechanics research of human locomotion at Locomotion Laboratory, University of Jena (Germany). From 2006 to 2009, he worked as a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology in USA. In 2006, he awarded the Fellowship for Prospective Researchers from the Swiss National Science Foundation, and in 2009, the Swiss National Science Foundation Professorship for an assistant professorship at ETH Zurich from 2009 to 2015. He was a recipient of the IROS2016 Fukuda Young Professional Award, and Royal Society Translation Award in 2017. His research interest includes biologically inspired robotics, embodied artificial intelligence, and biomechanics, where he was involved in a number of research projects related to dynamic legged locomotion, dextrous and adaptive manipulation, human-machine interactions, and evolutionary robotics.
