Algorithmic Foundations of Robotics X : Proceedings of the Tenth Workshop on the Algorithmic Foundations of Robotics / / edited by Emilio Frazzoli, Tomas Lozano-Perez, Nicholas Roy, Daniela Rus |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XIV, 626 p. 417 illus., 167 illus. in color.) |
Disciplina | 629.8/92 |
Collana | Springer Tracts in Advanced Robotics |
Soggetto topico |
Robotics
Automation Artificial intelligence Robotics and Automation Artificial Intelligence |
Soggetto genere / forma | Conference proceedings. |
ISBN | 3-642-36279-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | From the Contents: The Minimum Constraint Removal Problem with Three Robotics Applications -- Hierarchical Decision Theoretic Planning for Navigation Among Movable Obstacles -- Robust complete path planning in the plane. |
Record Nr. | UNINA-9910437913803321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Healthcare and Artificial Intelligence / / edited by Bernard Nordlinger, Cédric Villani, Daniela Rus |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (275 pages) |
Disciplina | 610.28563 |
Soggetto topico |
Computational intelligence
Artificial intelligence Biomedical engineering Health informatics Computational Intelligence Artificial Intelligence Biomedical Engineering and Bioengineering Health Informatics |
ISBN | 3-030-32161-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Artificial Intelligence and Tomorrow's Health -- Databases -- Matching an Epidemiological Cohort to Medico-Administrative Databases -- Medical and Administrative Data from Health Insurance -- How the SNIIRAM–PMSI Database Enables the Study of Surgical Practices -- Hospital Databases -- The Experience of the Institut Curie. |
Record Nr. | UNINA-9910483723903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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