23rd International Symposium on Artificial Life and Robotics
AROB 23rd 2018
3rd International Symposium on BioComplexity
January 18-20, 2018

Plenary Speakers

Wednesday, January 18, 2018

Helping a Robot to Understand Human Actions and Objects

Prof. Florentin Wörgötter, University of Göttingen, Germany


Humans are able to perform a wide variety of complex actions manipulating a very large number of objects. We can make predictions on the outcome of our actions and on how to use different objects. Hence, we have excellent action&object understanding. Artificial agents, on the other hand, still miserably fail in this respect. It is particularly puzzling how inexperienced, young humans can acquire such knowledge; bootstrapped by exploration and extended by supervision. In this study we have, therefore, addressed the question how to structure the realm of actions and objects into dynamic representations, which allow for the easy learning of different action and object concepts. Performing different manipulation actions on a table top (e.g. the actions of “making a breakfast”), we show with our robots that this will indeed lead to some kind of implicit (un-reflected) understanding of action and object concepts allowing the agent to generalize actions and redefine object uses according to need.


Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying the visual cortex, from the University of Essen, Germany, in 1988. From 1988 to 1990, he did research in computational neuroscience at the California Institute of Technology, Pasadena. He became a Researcher with the University of Bochum, Germany, in 1990, where he was investigating experimental and computational neuroscience of the visual system. From 2000 to 2005, he was a Professor for computational neuroscience with the Psychology Department, University of Stirling, U.K., where his interests strongly turned towards “Learning and Adaptive Artificial Systems” Since July 2005, he has been the Head of the Computational Neuroscience Department at the Bernstein Center for Computational Neuroscience, Inst. Physics 3, University of Göttingen, Germany. His current research interests include information processing in closed-loop perception–action systems (animals, robots), sensory processing (vision), motor control, and learning/plasticity, which are tested in different robotic implementations. This work has recently turned more and more towards issues of artificial cognition addressing problems of human action and object understanding and how to transfer this to machines.

Thursday, January 19, 2018

Engine-verseology: a new mathematical physics solving 100-year-old mysteries of subatomic, biological, cerebral, cosmic, and mechanical engines in the universe and engendering versatile technologies on medicine, information, energy, and mobility

Prof. Ken Naitoh, Waseda University, Japan


Phenomena in the universe are mathematically and physically similar to those in a small mechanical engine: expansion flow during engine combustion and the Big Bang and breakup of flexible particles such as fossil fuel droplets, biological cells, biological molecules, stars, and subatomic ones.
This eye-opening idea of similarity and two mathematical principles on indeterminacy and stability posit new stochastic differential equation systems lying between the Boltzmann, Langevin, and Schroedinger ones for explaining the mysteries of subatomic, biological, mechanical, and cosmic engines and also bringing their solutions. This approach leads to seven interdisciplinary sciences: (1) Quantum fluid mechanics, (2) Computational statistical fluid mechanics for solving transition phenomena, (3) Cyto-fluid dynamics that can explain the proliferation, differentiation and replication of biomolecules, (4) Onto-biology that clarifies the relationship between information, structure, and function, (5) Hyper-gourd theory that clarifies masses of particles such as quarks and leptons related to the super-magic numbers, including the asymmetric silver ratio and symmetric yamato ratio (aqua ratios), and also reveals further mechanisms underlying symmetry breaking, (6) Bio-standard network theory describing the standard network pattern of somatic and neural cells and biological molecules, and (7) Morpho-psychological economics for dodging catastrophes. Thought and computer experiments based on the seven sciences and actual experiments also show possibilities for engendering three technologies of a Big Bang-like engine (Fugine & Fusine) with very high thermal efficiencies due to nearly complete air-insulation and nuclear condensed matter for versatile usages on the ground and in aerospace, universal medicine against aging (Prognostic medicine), and an artificial ageless genius for creating soothing music and verse (Agenius).
Thus, “Engine-verse-ology” is a new hyper-interdisciplinary physics that explains a very wide range of scales and also provides driving force for evolving the universe, which leads to two quantum leaps from complexity research in a labyrinth to ultimacy exploration in paradise and also from innovation to invention.

References: Ken Naitoh, Gene engine and Machine engine. Springer-Japan, pp.1-251, 2006.(「生命のエンジン」in Japanese)
Ken Naitoh, Cyto-fluid dynamics. Japan J. of Industrial and Applied Mathematics, Vo.18, No.1, pp.75-105. 2001
Ken Naitoh, Engine for cerebral development. J. of Artificial Life Robotics. Vol. 13, pp.18-21, 2008.
Ken Naitoh, Morphogenic economics. Japan J. of Industrial and Applied Mathematics, Vol. 28, No.1. 2011.
Ken Naitoh, Spatiotemporal structure. J. of Physics, C.S. 344. pp.1-18. 2012
Ken Naitoh, Ken Ayukawa, et al. SAE paper 2016-01-2337, 2016
Remi Konagaya, Ken Naitoh et al., Prognostic medication. J. of Artificial Life Robotics, 2017.


1985: B.D. Waseda University
1987: M.D. Waseda University
1987-2000: NISSAN Motor Co., Ltd.
1993: Phd. Waseda University
2000-2005: Associate Professor, Yamagata University
2005-: Professor, Waseda University
1992: Best paper award of Japan Society of Automotive Engineers (JSAE)
1993: Best paper award of Japan Society of Mechanical Engineering (JSME)

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