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Annual Report 2002 - Örebro universitet

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34 AASS – Center for Applied Autonomous Sensor Systems<br />

2. Research Labs<br />

At the present time AASS consists of four research laboratories that have joined their<br />

expertise to cover and integrate the broad spectrum of scientific disciplines needed for the<br />

design and implementation of industrially relevant autonomous systems.<br />

This would be practically impossible for any individual laboratory, but is achievable by a<br />

joint effort, which is organized in the form of AASS. This joint effort is aimed not only at<br />

expanding the frontiers of the science of autonomous sensor systems, but also gradually<br />

incorporating it in the graduate and undergraduate curriculum, and producing physical<br />

demonstrators of autonomous sensor systems with industrial and educational relevance.<br />

The common scientific denominator for the four research laboratories is the subject of<br />

"perception and autonomy in diverse un- and/or semi-structured environments''. We<br />

pursue this subject using a common research methodology, which is strictly applied: all<br />

technologies that we investigate should answer actual needs that emerge from an application,<br />

and their effectiveness is always validated on the application.<br />

2.1 Biologically inspired systems lab<br />

The lab’s research addresses the development of human-like (or more generally biological<br />

systems like) sensors/actuators and biologically inspired methods for sensori-motoric<br />

information processing, fusion and perception. With respect to perception, the objective is to<br />

incorporate in the design of intelligent sensors biologically inspired features (human-like) of<br />

perception (granularity, uncertainty, imprecision and vagueness), and make a reference to<br />

anatomical localization and biological functions. Regarding sensori-motoric motion control,<br />

our concern is the investigation and development of totally neurobiologically inspired,<br />

adaptive and intelligent control schemes for visually guided reach, grasp and dexterous<br />

manipulation by means of an anthropomorphic hand actuated by artificial muscles. This<br />

research direction takes also into account the study of arm-hand coordinated movements,<br />

which could be driven by a combination of different types of artificial muscles and/or muscle<br />

like actuators.<br />

Achieving the above objectives would provide on one hand more reliable, robust and accurate<br />

quality testing and assessment devices for purely industrial applications including the food<br />

industry and intelligent rescue systems; on the other hand, it contributes to the improvement<br />

of our current understanding about the behavior and functioning of biological control systems<br />

namely the central nervous system. This is essential for designing artifacts that help humans<br />

to avoid repeated unskillful and dangerous tasks.

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