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dc.contributor.author Sauze, Colin
dc.contributor.author Neal, Mark
dc.date.accessioned 2010-09-16T07:57:34Z
dc.date.available 2010-09-16T07:57:34Z
dc.date.issued 2010-08-31
dc.identifier.citation Sauze , C & Neal , M 2010 , ' A neuro-endocrine inspired approach to long term energy autonomy in sailing robots. ' pp. 255-262 . en
dc.identifier.other PURE: 151027
dc.identifier.other dspace: 2160/5691
dc.identifier.uri http://hdl.handle.net/2160/5691
dc.identifier.uri http://www.tech.plym.ac.uk/soc/staff/guidbugm/taros2010/TAROS%202010%20Proceedings.pdf en
dc.description C. Sauze and M. Neal, 'A neuro-endocrine inspired approach to long term energy autonomy in sailing robots.', in proceedings of TAROS (Towards Autonomous Robotic Systems) 2010, August 31st-September 2nd 2010, pages 255-262, en
dc.description.abstract There is an increasing desire to deploy autonomous robots into harsh environments where humans do not wish to go or cannot go. These robots have only infrequent contact with human operators and therefore, must be highly autonomous, both in terms of control and energy. Sailing robots represent a good example of such robots as the primary locomotive force is provided by the wind and only small amounts of electrical power are required to run the onboard electronics. An artificial neuro-endocrine controller inspired by the mammalian neural and endocrine systems offers, the ability to generate a hormone which can either inhibit or excite a neural network to reduce or increase its level of activity. Experiments using hormones linked to robot's battery level and the level of sunlight from a photovoltaic solar panel show that behaviour can be modified in a meaningful manner to manage long term power consumption. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title A neuro-endocrine inspired approach to long term energy autonomy in sailing robots. en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Non peer reviewed en


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