Instinct: A biologically inspired reactive planner for intelligent embedded systems |
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| Affiliation: | 1. Department of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK;2. Department of Computer Science, University of Bath, Claverton Down, Bath BA2 7AY, UK;3. Falmouth University, Games Academy, Penryn Campus, Treliever Road, Penryn TR10 9FE, UK;1. Department of Urology, University of Catania, Catania, Italy;2. Department of Urology, University of Sassari, Sassari, Italy;3. Department of Medical and Pediatric Sciences, Section of Endocrinology, Andrology, and Internal Medicine, University of Catania, Catania, Italy;1. Immunology Section, Department of Medicine, Verona University Hospital, Verona, Italy;2. Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy;3. Università Cattolica Del Sacro Cuore, Roma, Italy;4. Medical Oncology, University of Verona, Verona University Hospital, Verona, Italy;1. Center for Logic, Language, and Cognition, University of Torino, Italy;2. Computer Science Department, University of Torino, Italy;1. Service de chirurgie générale et digestive, Hôpitaux Universitaires de Strasbourg, Hôpital de Hautepierre, 2, avenue Molière, 67200 Strasbourg, France;2. Département de radiothérapie, centre Paul Strauss, 3, rue de la Porte-de-l’Hôpital, 67065 Strasbourg Cedex, France;3. Département de génétique, génomique et microbiologie, Université de Strasbourg/CNRS, UMR 7156, 28, rue Goethe, 67083 Strasbourg Cedex, France;4. Département d’oncologie médicale, centre Paul Strauss, 3, rue de la Porte-de-l’Hôpital, 67065 Strasbourg Cedex, France;1. The Center for Chinese Modern City Studies, East China Normal University, China;2. School of Urban and Regional Science, East China Normal University, China |
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| Abstract: | The Instinct Planner is a new biologically inspired reactive planner, based on an established behaviour based robotics methodology and its reactive planner component — the POSH planner implementation. It includes several significant enhancements that facilitate plan design and runtime debugging. It has been specifically designed for low power processors and has a tiny memory footprint. Written in C++, it runs efficiently on both Arduino (Atmel AVR) and Microsoft VC++ environments and has been deployed within a low cost maker robot to study AI Transparency. Plans may be authored using a variety of tools including a new visual design language, currently implemented using the Dia drawing package. |
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| Keywords: | Reactive planning Instinct Arduino POSH BOD Bio-inspired 00-01 99-00 |
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