Abstract
On the way to autonomous service robots, spatial reasoning plays a main role since it properly deals with problems involving uncertainty. In particular, we are interested in knowing people’s pose to avoid collisions. With that aim, in this paper, we present a qualitative acceleration model for robotic applications including representation, reasoning and a practical application.
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Martinez-Martin, E., Escrig, M.T., del Pobil, A.P. (2013). Qualitative Acceleration Model: Representation, Reasoning and Application. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_11
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DOI: https://doi.org/10.1007/978-3-319-00551-5_11
Publisher Name: Springer, Cham
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