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Keynote Lectures

Aerial Robots – From Omnidirectional Flight to Physcial Interaction at Hight
Roland Siegwart, ETH Zürich, Switzerland

Available soon.
Luís Paulo Reis, University of Porto, Portugal

Available soon.
Honghai Liu, School of Creative Technologies, University of Portsmouth, United Kingdom

 

Aerial Robots – From Omnidirectional Flight to Physcial Interaction at Hight

Roland Siegwart
ETH Zürich
Switzerland
 

Brief Bio

Roland Siegwart (born in 1959) is professor for autonomous mobile robots at ETH Zurich, founding co-director of the Wyss Zurich accelerator and member of the board of directors of multiple high-tech companies. He studied mechanical engineering at ETH, spent ten years as professor at EPFL Lausanne (1996 – 2006), was vice president of ETH Zurich (2010 -2014) and held visiting positions at Stanford University and NASA Ames.

He is and was the coordinator of multiple European projects and co-founder over half a dozen spin-off companies, including Wingta, Anybotics, Sevensense, Voliro and Tethys. He is IEEE Fellow, recipient of the IEEE RAS Inaba Technical Award, the IEEE RAS Pioneer award and officer of the International Federation of Robotics Research (IFRR). He is on the editorial board of multiple journals in robotics and was a general chair of several conferences in robotics including IROS 2002, AIM 2007, FSR 2007, ISRR 2009, FSR 2017 and CoRL 2018. His interests are in the design and navigation of flying, wheeled, walking and swimming robots operating in complex and highly dynamical environments. Since over 20 years, his lab is pioneering the field of flying robots.


Abstract
In the last 20 years, flying robots have evolved from fascinating lab prototypes to extremely useful tools for aerial imaging, search and rescue, and inspections at height. However, the limited flight capabilities, as well as the restricted computing power of drones renders autonomous operations quite challenging. This talk will focus on the design and autonomous navigation of arial robots capable of physical interactions. These omni-directional flying robots enable physical work at height, thus opening totally new challenges and applications.



 

 

Available soon.

Luís Paulo Reis
University of Porto
Portugal
https://sigarra.up.pt/feup/en/func_geral.formview?p_codigo=211669
 

Brief Bio
Luis Paulo Reis is an Associate Professor at the University of Porto in Portugal and Director of LIACC – Artificial Intelligence and Computer Science Laboratory. He is an IEEE Senior Member, and he is the President of APPIA - Portuguese Association for Artificial Intelligence. He is also Co-Director of LIACD - First Degree in Artificial Intelligence and Data Science. During the last 25 years, he has lectured courses, at the University, on Artificial Intelligence, Intelligent Robotics, Multi-Agent Systems, and Simulation. He was the principal investigator of more than 30 research projects in those areas. He won more than 60 scientific awards including winning more than 15 RoboCup international competitions and best papers at conferences such as ICEIS, Robotica, IEEE ICARSC and ICAART. He supervised 22 PhD and 150 MSc theses to completion and is supervising 12 PhD theses. He was a plenary speaker at several international conferences, organised more than 60 international scientific events and belonged to the Program Committee of more than 250 scientific events. He is the author of more than 400 publications in international conferences and journals.


Abstract
Available soon.



 

 

Available soon.

Honghai Liu
School of Creative Technologies, University of Portsmouth
United Kingdom
https://www.port.ac.uk/about-us/structure-and-governance/our-people/our-staff/honghai-liu
 

Brief Bio
I received a PhD in Intelligent Robotics from King's College, University of London. I am a Chair in Human Machine Systems at the University of Portsmouth, the Director for Biomedical Robotics and Intelligent Systems since 2005. I previously worked in industry on large-scale industrial control and system integration projects, and held appointments at the University of London and University of Aberdeen. My research focuses on motion sensing and understanding and its applications to human machine systems, particularly those approaches which could make contributions to the intelligent connection of perception to action with applications in exploring solutions to children with Autism Spectrum Disorder and stroke patients. I appreciate financial support from the Royal Society, the Royal Academy of Engineering, EPSRC, EU 7th Framework Programme, SEEDA, Japan Society for the Promotion of Science and the British Council, as well as national and international industrial and academic partners.


Abstract
Available soon.



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