Please pay attention that this program will be completed with more details and some of it may change.
|8:00 - 9:00||Registration & Poster Setup|
|9:00 – 9:10||Welcome address|
|9:10 – 10:10||Invited Keynote by Prof. Gordon Cheng: "Realising self-organising robot skin"|
|10:10 – 10:30||Networking Coffee Break|
|10:30 - 11:30||Invited Keynote by Prof. Andrew Tyrrell: "Bio-inspired hardware for self-aware architectures and robots: knobs and monitors"|
|11:30 – 12:45||Theme I: Presentations from Participants and Open Discussion|
|12:45 - 14:00||Lunch Break & Poster Viewing|
|14:00 - 15:15||Theme II: Presentations from Participants and Open Discussion|
|15:15 – 15:45||Networking Coffee Break & Poster Viewing|
|15:45 - 17:00||Theme III: Presentations from Participants and Open Discussion|
|19:00 –||Workshop dinner “Weißes Bräuhaus”|
|9:00 – 10:15||Theme IV: Presentations from Participants and Open Discussion|
|10:15 – 10:45||Networking Coffee Break|
|10:45 – 12:00||Theme V: Presentations from Participants and Open Discussion|
|12:45 -||Lunch Break & Closing|
In this talk, I will outline the efforts we have undertaken in realising artificial robot skin for robots. I will highlight multiple aspects where self-organisation plays a critical part in realising such system on robots: self-configuration of its network, self-localisation of each skin cells, self-determination of it sensorimotor for control/reactions. All these aspects are pretty much similar to the way a human brain and their body are structured in order to deal with complex information of their skin. The talk will end with a number of exemplar robotic systems and their application will be given.
Gordon Cheng holds the Chair of Cognitive Systems at Technical University of Munich (TUM). He is Founder and Director of the Institute for Cognitive Systems in the Department of Electrical and Computer Engineering at TUM. He is also the coordinator of the CoC for Neuro-Engineering - Center of Competence Neuro-Engineering within the department and program director of the ENB Elite Master of Science program in Neuroengineering. He is also involved in a number of major European Union Projects. Over the past years Gordon Cheng has been the co-inventor of approximately 20 patents and is the author of approximately 300 technical publications, proceedings, editorials and book chapters.
Biological inspiration in the design of computing machines finds its source in essentially three biological models: phylogenesis, the history of the evolution of the species, ontogenesis, the development of an individual as directed by his genetic code, and epigenesis, the development of an individual through learning processes influenced both by their genetic code and by the environment. These three models share a common basis: a one-dimensional description of the organism, the genome and contribute explicitly or implicitly to self-awareness in biological organisms. If one would like to implement some or all of these ideas in hardware (e.g. robots, silicon) can we achieve self-awareness? Do we need specifically designed-for-purpose hardware? This talk will consider some historical work on bio-inspired hardware architectures before moving on to consider some recent work in applying bio-inspired ideas to integrate self-awareness for the purpose of self-repair. Additionally, this and associated work will consider collective robotics showing forms of self-repair.
Andy Tyrrell received a 1st class honours degree in 1982 and a PhD in 1985 (Aston University), both in Electrical and Electronic Engineering. He joined the Electronics Department at University of York in April 1990, he was promoted to the Chair of Digital Electronics in 1998. His main research interests are in the design of biologically-inspired architectures, evolvable hardware, FPGA system design and robotics. This work has included the creation of embryonic processing array, intrinsic evolvable hardware systems and the PAnDA hardware architecture. He founded the Intelligent Systems research group at York in 1998, and is currently Head of Department. He co-founded and is CEO of the University spin-out company ngenics which focuses on applying bio-inspired computation to semiconductor designs. He has published over 350 papers in these areas. He is a Senior member of the IEEE and a Fellow of the IET.
Please bear in mind that this assignment is not considered final before the end of March.
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