Monday, 15/04/2019

Time Activity
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”

Tuesday, 16/04/2019

Time Activity
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.

Tentative Session Assignment

Please bear in mind that this assignment is not considered final before the end of March.

Theme I: On-Chip Resource Management

Author(s) Title
A. Sadighi, A. P. Surhonne, F. Maurer, A. V. Doan, T. Wild, and A. Herkersdorf "Multi-Scale Self Awareness for MPSoC Systems"
Elham Shamsa, Anil Kanduri, Amir M. Rahmani, Axel Jantsch, Nikil Dutt, and Pasi Liljeberg "Self-aware Resource Management of Heterogeneous Multi-core Systems with Goal-Driven Autonomy"
Parham Haririan "Self-Aware Run-Time Power Management"

Theme II: Internet-of-Things (IoT)

Author(s) Title
Stefan Herrnleben, Christian Krupitzer, and Samuel Kounev "A Concept for an Adaptive Communication Middleware for Car-2-Cloud Applications"
Farnaz Forooghifar, Amir Aminifar, and David Atienza "Resource-Aware and Incremental Machine Learning Using Self-Awareness on Mobile-Health Technologies"
Denis Kramer and Joerg Haehner "Self-awareness for interoperability of IoT systems"

Theme III: Socio-Psychologically Inspired

Author(s) Title
Veronika Lesch, Christian Krupitzer, and Sven Tomforde "Please Obey My Plan: How to Optimise Decentralised Self-Adaptive Systems"
Chloe M. Barnes, Anikó Ekárt, and Peter R. Lewis "Towards Social Action in Self-Aware Agents"
J.N.A. Brown and L. Esterle "The Computer’s Conception of the World: Using the Psychology of Piaget and Vygotsky to Prevent Sociopathy in AIs"

Theme IV: Embedded Artificial Intelligence (AI)

Author(s) Title
Peter R. Lewis and Chloe M. Barnes "Social Self-Awareness for Socially-Embedded AI"
Sai Manoj P D "Role of Self-awareness in Hardware Security and Adversarial Learning"
Bryan Donyanavard, Nikil Dutt, and Amir Rahmani "Self-adaptivity in Mobile Resource Management"

Theme V: Self-Awareness Fundamentals

Author(s) Title
Nima TaheriNejad and Axel Jantsch "Improved Machine Learning using Confidence"
Severin Kacianka and Lukas Esterle "Causal Reasoning for Self-Aware Systems"
Kalle Tammemäe and Madis Kerner "Using Language Grammar to Assess Self-Awareness"

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