A Qualitative Acceleration Model Based on Intervals
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.
- Referencias
- Cómo citar
- Del mismo autor
- Métricas
CIOACA, E., LINNEBANK, F., BREDEWEG, B., & SALLES, P.: A qualitative reasoning model of algal bloom in the danube delta biosphere reserve (ddbr). Ecol Informatics, 4(5-6): 282–298, 2009
CLEMENTINI, E., FELICE, P.D., HERNÁNDEZ, D.: Qualitative representation of positional information. AI, 95(2): 317–356, 1997
COHN, A., & HAZARIKA, S.: Qualitative spatial representation and reasoning: An overview. Fun?damenta Informaticae, 46(1-2): 1–29, 2001
ESCRIG, M., & TOLEDO, F. Reasoning with compared distances at different levels of granularity. In: CAEPIA. Gijón, Spain, 2001
FREKSA, C. Using orientation information for qualitative spatial reasoning. In: Theories and ?Methods of Spatio-Temporal Reasoning in Geographic Space, LNCS, vol. 639. Springer-Verlag, Berlin, Germany, 1992
KING, R., GARRETT, S., & COGHILL, G. On the use of qualitative reasoning to simulate and identify ?metabolic pathways. Bioinformatics, 21(9): 2017–2026, 2005
KNAUFF, M., STRUBE, G., JOLA, C., RAUH, R., & SCHLIEDER, C.: The psychological validity of qualitative spatial reasoning in one dimension. Spatial Cognition & Computation, 4(2): 167–188, 2004
LEVINSON, S. Space in Language and Cognition. Explorations in Cognitive Diversity. Cambridge University Press, UK, 2003
LIU, H., BROWN, D., & COGHILL, G.: Fuzzy qualitative robot kinematics. IEEE Trans. on Fuzzy ?Systems, 16(3): 808–822, 2008
MARTÍNEZ-MARTÍN, E., ESCRIG, M.T., & DELPOBIL, A. A General Framework for Naming Qualitative ?Models Based on Intervals, AISC, vol. 151, pp. 681–688. Springer-Verlag, 2012
RENZ, J., & NEBEL, B. Qualitative Spatial Reasoning Using Constraint Calculi, pp. 161–215. ?Springer Verlag, Berlin, Germany, 2007
VAN DE WEGHE, N., COHN, A., DE TRÉ, G., & DE MAEYER, P.: A qualitative trajectory calculus as ?a basis for representing moving objects in geographical information systems. Control and ?Cybernetics, 35(1): 97–119, 2006
WESTPHAL, M., & WÖLFL, S. Qualitative csp, finite csp, and sat: Comparing methods for qualitative ?constraint-based reasoning. In: IJCAI, pp. 628–633, 2009
ZADEH, L. A new direction in AI. Toward a computational theory of perceptions. AI Magazine, ?22(1): 73–84, 2001
CLEMENTINI, E., FELICE, P.D., HERNÁNDEZ, D.: Qualitative representation of positional information. AI, 95(2): 317–356, 1997
COHN, A., & HAZARIKA, S.: Qualitative spatial representation and reasoning: An overview. Fun?damenta Informaticae, 46(1-2): 1–29, 2001
ESCRIG, M., & TOLEDO, F. Reasoning with compared distances at different levels of granularity. In: CAEPIA. Gijón, Spain, 2001
FREKSA, C. Using orientation information for qualitative spatial reasoning. In: Theories and ?Methods of Spatio-Temporal Reasoning in Geographic Space, LNCS, vol. 639. Springer-Verlag, Berlin, Germany, 1992
KING, R., GARRETT, S., & COGHILL, G. On the use of qualitative reasoning to simulate and identify ?metabolic pathways. Bioinformatics, 21(9): 2017–2026, 2005
KNAUFF, M., STRUBE, G., JOLA, C., RAUH, R., & SCHLIEDER, C.: The psychological validity of qualitative spatial reasoning in one dimension. Spatial Cognition & Computation, 4(2): 167–188, 2004
LEVINSON, S. Space in Language and Cognition. Explorations in Cognitive Diversity. Cambridge University Press, UK, 2003
LIU, H., BROWN, D., & COGHILL, G.: Fuzzy qualitative robot kinematics. IEEE Trans. on Fuzzy ?Systems, 16(3): 808–822, 2008
MARTÍNEZ-MARTÍN, E., ESCRIG, M.T., & DELPOBIL, A. A General Framework for Naming Qualitative ?Models Based on Intervals, AISC, vol. 151, pp. 681–688. Springer-Verlag, 2012
RENZ, J., & NEBEL, B. Qualitative Spatial Reasoning Using Constraint Calculi, pp. 161–215. ?Springer Verlag, Berlin, Germany, 2007
VAN DE WEGHE, N., COHN, A., DE TRÉ, G., & DE MAEYER, P.: A qualitative trajectory calculus as ?a basis for representing moving objects in geographical information systems. Control and ?Cybernetics, 35(1): 97–119, 2006
WESTPHAL, M., & WÖLFL, S. Qualitative csp, finite csp, and sat: Comparing methods for qualitative ?constraint-based reasoning. In: IJCAI, pp. 628–633, 2009
ZADEH, L. A new direction in AI. Toward a computational theory of perceptions. AI Magazine, ?22(1): 73–84, 2001
Martinez-Martin, E., Teresa Escrig, M., & P. Del Pobil, A. (2013). A Qualitative Acceleration Model Based on Intervals. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2(2), 17–23. https://doi.org/10.14201/ADCAIJ2013251723
Downloads
Download data is not yet available.
+
−