TY - CONF
T1 - Aspects of sustainable software design for complex robot platforms in multi-disciplinary research projects on embodied cognition
AU - Hülse, Martin
AU - Lee, Mark
N1 - In Huelse, M., Hild, M. (Eds.) Proceedings: WS on 'Current software frameworks in Cognitive Robotics integrating different computational paradigm', published in conjunction with IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, (IROS 2008), 33 - 38.
Huelse, M., Lee, M.: Aspects of sustainable software design for complex robot platforms in multi-disciplinary research projects on embodied cognition. In Huelse, M., Hild, M. (Eds.), IROS Workshop on Current software frameworks in cognitive robotics integrating different computational paradigms, IROS 2008, Nice, France, 33-38, 2008.
Sponsorship: EPSRC
PY - 2008/9
Y1 - 2008/9
N2 - Sophisticated robot systems have become an important part
in cognition research. On the one hand, autonomous robots
are intended to provide a proof of concept for cognitive models.
On the other hand,
cognition research becomes a source of inspiration in
targeting current limitations in the engineering of robust,
flexible and adaptive artifacts.
In this work, we discuss aspects of software development and integration
for heterogeneous robotic systems in cognition research.
As we will argue, one important issue is the combination of different
computational paradigms within one robot system, which are
rooted in the divergent approaches of engineers and scientists.
This discussion lead to the introduction of a software framework aiming
to overcome some well known problems of sustainable software development
in robotics, but particular important
for multi-disciplinary and multi-center cognition research projects.
The introduced framework is based on well established standards
in software engineering and therefore can be considered for a wide range
of cognition research platforms and projects. Further on, we will
briefly present a robotic setup where this framework is applied.
It consists of a manipulator of 14 DOF (degrees of
freedom) and an active vision system of 4 DOF. It is part of
research activities aiming to model behavior integration and
action-selection mechanisms based in large-scale neural networks.
AB - Sophisticated robot systems have become an important part
in cognition research. On the one hand, autonomous robots
are intended to provide a proof of concept for cognitive models.
On the other hand,
cognition research becomes a source of inspiration in
targeting current limitations in the engineering of robust,
flexible and adaptive artifacts.
In this work, we discuss aspects of software development and integration
for heterogeneous robotic systems in cognition research.
As we will argue, one important issue is the combination of different
computational paradigms within one robot system, which are
rooted in the divergent approaches of engineers and scientists.
This discussion lead to the introduction of a software framework aiming
to overcome some well known problems of sustainable software development
in robotics, but particular important
for multi-disciplinary and multi-center cognition research projects.
The introduced framework is based on well established standards
in software engineering and therefore can be considered for a wide range
of cognition research platforms and projects. Further on, we will
briefly present a robotic setup where this framework is applied.
It consists of a manipulator of 14 DOF (degrees of
freedom) and an active vision system of 4 DOF. It is part of
research activities aiming to model behavior integration and
action-selection mechanisms based in large-scale neural networks.
M3 - Abstract
T2 - Intelligent Robots and Systems
Y2 - 22 September 2008 through 26 September 2008
ER -