{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:55:54Z","timestamp":1754157354733,"version":"3.41.2"},"reference-count":22,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2006,7,1]],"date-time":"2006-07-01T00:00:00Z","timestamp":1151712000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,7,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>Robots operating in the real world should be able to make decisions and plan ahead their actions. We argue that learning using generalized representations of the robot's experience can assist such a ability.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>We present results from our research on methods for enabling mobile robots to plan their actions using generalized representations of their experience. Such generalized representations are acquired through a learning phase during which the robot explores its environment and builds subsymbolic (connectionist) representations of the result that its actions have to its sensory perception. Then these representations are employed by the robot for autonomously determining task\u2010achieving sequences of actions (plans),for attaining assigned tasks.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Such subsymbolic mechanisms can employ generalization techniques in order to pursue plans through unexplored regions of the robot's environment.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Subsymbolic motion planning can autonomously determine task\u2010achieving sequences of actions in real environments, without using presupplied symbolic knowledge, but instead generating novel plans using previously acquired subsymbolic representations.<\/jats:p><\/jats:sec>","DOI":"10.1108\/01439910610667881","type":"journal-article","created":{"date-parts":[[2006,7,4]],"date-time":"2006-07-04T08:19:09Z","timestamp":1152001149000},"page":"270-277","source":"Crossref","is-referenced-by-count":2,"title":["Learning to plan for robots using generalized representations"],"prefix":"10.1108","volume":"33","author":[{"given":"John","family":"Pisokas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongbing","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huosheng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022012719515418300_b1","unstructured":"Arkin, R. 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(1985), \u201cA robust layered control system for a mobile robot\u201d, Technical Report 864, MIT AI Lab, Cambridge, MA."},{"key":"key2022012719515418300_b6","doi-asserted-by":"crossref","unstructured":"Bugmann, G. (1997), \u201cA connectionist approach to spatial memory and planning\u201d, in Landau, L.J. and Taylor, J.G. (Eds), Basic Concepts in Neural Networks: A Survey, Perspectives in Neural Networks, Chapter 5, Springer, London, pp. 109\u201046.","DOI":"10.1007\/978-1-4471-3427-5_5"},{"key":"key2022012719515418300_b7","doi-asserted-by":"crossref","unstructured":"Choset, H., Konukseven, I. and Burdick, J. (1996), \u201cMobile robot navigation: issues in implementation the generalized Voronoi graph in the plane\u201d, Proceedings of IEEE\/SICE\/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 241\u20108.","DOI":"10.1109\/MFI.1996.572184"},{"key":"key2022012719515418300_b8","doi-asserted-by":"crossref","unstructured":"Fikes, R.E. and Nilsson, N.J. (1971), \u201cSTRIPS: a new approach to the application of theorem proving to problem solving\u201d, Artificial Intelligence, Vol. 2, pp. 189\u2010208.","DOI":"10.1016\/0004-3702(71)90010-5"},{"key":"key2022012719515418300_b9","doi-asserted-by":"crossref","unstructured":"Franz, M.O., Scholkopf, B., Mallot, H.A. and Bulthoff, H.H. (1998), \u201cLearning view graphs for robot navigation\u201d, Autonomous Robots, Vol. 5, pp. 111\u201025.","DOI":"10.1007\/978-1-4615-5735-7_9"},{"key":"key2022012719515418300_b10","unstructured":"Gat, E. (1992), \u201cIntegrating planning and reacting in a heterogeneous asynchronous architecture for controlling real\u2010world mobile robots\u201d, Proceedings AAAI\u201092, Vol. 4 No. 4, pp. 809\u201015."},{"key":"key2022012719515418300_b11","doi-asserted-by":"crossref","unstructured":"Harnad, S. (1990), \u201cThe symbol grounding problem\u201d, Physica D, Vol. 42, pp. 335\u201046.","DOI":"10.1016\/0167-2789(90)90087-6"},{"key":"key2022012719515418300_b12","unstructured":"Koenig, S. and Simmons, R.G. (1998), \u201cA robot navigation architecture based on partially observable Markov decision process models\u201d, Artificial Intelligence and Mobile Robots, Chapter Xavier, AAAI\/MIT Press, Cambridge, MA, pp. 91\u2010122."},{"key":"key2022012719515418300_b13","unstructured":"Kohonen, T. (1984), Self\u2010Organization and Associative Memory, Springer\u2010Verlag, New York, NY."},{"key":"key2022012719515418300_b14","doi-asserted-by":"crossref","unstructured":"Kuipers, B. and Byun, Y\u2010T. (1991), \u201cA robot exploration and mapping strategy based on a semantic hierarchy of spatial representations\u201d, Robotics and Autonomous Systems, Vol. 8, pp. 46\u201063.","DOI":"10.1016\/0921-8890(91)90014-C"},{"key":"key2022012719515418300_b15","doi-asserted-by":"crossref","unstructured":"Lowe, D. and Tipping, M.E. (1996), \u201cFeed\u2010forward neural networks and topographic mappings for exploratory data analysis\u201d, Neural Computing and Applications, Vol. 4, pp. 83\u201095.","DOI":"10.1007\/BF01413744"},{"key":"key2022012719515418300_b16","doi-asserted-by":"crossref","unstructured":"Malcolm, C. and Smithers, T. (1990), \u201cSymbol grounding via a hybrid architecture in an autonomous assembly system\u201d, Robotics and Autonomous Systems, Vol. 6 Nos 1\/2, pp. 145\u201068.","DOI":"10.1016\/S0921-8890(05)80032-6"},{"key":"key2022012719515418300_b17","unstructured":"Miller, G.A., Galanter, E. and Pribram, K.H. (1965), Plans and the Structure of Behavior, 2nd ed., Holt, Rinehart and Winston, New York, NY."},{"key":"key2022012719515418300_b18","unstructured":"Nilsson, N.J. (1984), \u201cShakey the robot\u201d, Technical Report 323, SRI International, Menlo Park, CA."},{"key":"key2022012719515418300_b19","unstructured":"Pisokas, J. and Nehmzow, U. (2004), \u201cSubsymbolic action planning for robots: generalized representations of experience\u201d, Proceedings of the 8th Conference on Intelligent Autonomous Systems, IAS\u20108, pp. 666\u201073."},{"key":"key2022012719515418300_b20","doi-asserted-by":"crossref","unstructured":"Taylor, C.J. and Kriegman, D.J. (1998), \u201cVision\u2010based motion planning and exploration algorithms for mobile robots\u201d, IEEE Trans. on Robotics and Automation, Vol. 14 No. 3, pp. 417\u201027.","DOI":"10.1109\/70.678451"},{"key":"key2022012719515418300_b21","unstructured":"Turing, A. (1952), \u201cThe chemical basis for morphogenesis\u201d, Phil. Trans. Roy. 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