Annual Report 2002 - Ãrebro universitet

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Annual Report 2002 33 1.7.4 General Public The general public and various civil authorities are informed via the web, public lectures, and media presence such as newspaper articles, TV and radio programs. We also arranged several “open houses” with demos for the general public as well as public seminars that we have regularly see 4.2 1.7.5 Seminars 1.7.5.1 AASS International Seminar Series During 2002 the event didn’t take place. 1.7.5.2 Regular AASS Seminars Schedule for April 2002 - January 2003 Apr 8 Ola Pettersson Steps towards model-free execution monitoring Apr 15 Par Buschka A virtual sensor for room detection Apr 22 Xjob presentations Ahmed Mahamod Farah: Active localization of an odour source Linus Göransson: Dead reckoning using omni-directional vision Apr 29 AASS coordinators and lab leaders Future directions for AASS May 6 Boyko Iliev Variable structure control using Takagi-Sugeno system as a sliding surface May 13 Xjob presentation Robert Johansson: Graphical development platform for RoboCup June 3 Xjob presentations Daniel & Mihaljo - People Tracking Karin & Catharina - Medical Image Processing Nov 4 Jörgen Widmark VR social agent expressions: driven by real electonic sensors Nov 11 Lucia Ballerini Image analysis for food quality measurements Nov 18 Zbigniew Wasik Reports: visual servoing summer school and ICPR conference Dec 2 Par Buschka, Alessandro Saffiotti, Zbigniew Wasik Report: IROS 2002 Conference Dec 9 Kevin LeBlanc Visual Tracking Algorithms Jan 7 Henrik Andreasson Laser ranger for underwater vehicles Jan 20 Lars Jennergren Assembly of spherical roller bearings (MSc thesis) plus goals of his Ph.D project "Flexible food production"
34 AASS – Center for Applied Autonomous Sensor Systems 2. Research Labs At the present time AASS consists of four research laboratories that have joined their expertise to cover and integrate the broad spectrum of scientific disciplines needed for the design and implementation of industrially relevant autonomous systems. This would be practically impossible for any individual laboratory, but is achievable by a joint effort, which is organized in the form of AASS. This joint effort is aimed not only at expanding the frontiers of the science of autonomous sensor systems, but also gradually incorporating it in the graduate and undergraduate curriculum, and producing physical demonstrators of autonomous sensor systems with industrial and educational relevance. The common scientific denominator for the four research laboratories is the subject of "perception and autonomy in diverse un- and/or semi-structured environments''. We pursue this subject using a common research methodology, which is strictly applied: all technologies that we investigate should answer actual needs that emerge from an application, and their effectiveness is always validated on the application. 2.1 Biologically inspired systems lab The lab’s research addresses the development of human-like (or more generally biological systems like) sensors/actuators and biologically inspired methods for sensori-motoric information processing, fusion and perception. With respect to perception, the objective is to incorporate in the design of intelligent sensors biologically inspired features (human-like) of perception (granularity, uncertainty, imprecision and vagueness), and make a reference to anatomical localization and biological functions. Regarding sensori-motoric motion control, our concern is the investigation and development of totally neurobiologically inspired, adaptive and intelligent control schemes for visually guided reach, grasp and dexterous manipulation by means of an anthropomorphic hand actuated by artificial muscles. This research direction takes also into account the study of arm-hand coordinated movements, which could be driven by a combination of different types of artificial muscles and/or muscle like actuators. Achieving the above objectives would provide on one hand more reliable, robust and accurate quality testing and assessment devices for purely industrial applications including the food industry and intelligent rescue systems; on the other hand, it contributes to the improvement of our current understanding about the behavior and functioning of biological control systems namely the central nervous system. This is essential for designing artifacts that help humans to avoid repeated unskillful and dangerous tasks.
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