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allied
academies
October 22-23, 2018 | Frankfurt, Germany
International Conference on
Robo t i c s a n d A u t oma t i o n
B iomater ial s and Nanomater ial s
Joint Event
&
Journal of Biomedical Research | Volume 29
Computation mechanisms for realization of context-driven robots
Tomislav Stipancic
University of Zagreb, Croatia
H
umans are using memories, twisted or guessed facts and
other implicit information asserted or collected to reason
about the most appropriate solutions in a given environmental
conditions. They are adaptive instead of being reactive and
this adaptation is happening through a constant interaction.
Unlike humans, robots do not understand context by default
and therefore they are mostly reactive. Deterministic chaos
is a characteristic of the real world where the existence of
living beings depends mostly on their capability to adapt to
changes instead of controlling them. Compared to conventional
approaches where robots are preprogramed to react on a
finite number of environmental occurrences, the contextual
awareness can enable modeling of human like adaptation
skills. Computational models, as a focus of this talk, could be
understood as context to data interpreters that transform
(high-level or implicit) information into (low- level or explicit)
data, allowing machines to make context-drivendecisions.
The basic model contains three main parts. The first part
is used to track and collect significant environmental
information following the principles of ubiquitous computing.
The second part represents formal knowledge about the
domain of interest. The model contains also a probabilistic
component realized through Bayesian Network ensuring a
single solution in a given context. The overall methodology
will be presented through three separate examples illustrating
the reasoning based on: (i) phenomenon of social capital,
(ii) human bodily awareness and (iii) human emotions. The
design philosophy is focused here on the effects of the real
human reasoning without defining the phenomenon itself.
e:
c.tapiacortez@unsw.edu.auRobotics & Biomaterials 2018, Volume 29
DOI: 10.4066/biomedicalresearch-C6-017