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Towards Autonomous Robotic Systems [[electronic resource] ] : 14th Annual Conference, TAROS 2013, Oxford, UK, August 28--30, 2013, Revised Selected Papers / / edited by Ashutosh Natraj, Stephen Cameron, Chris Melhuish, Mark Witkowski



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Titolo: Towards Autonomous Robotic Systems [[electronic resource] ] : 14th Annual Conference, TAROS 2013, Oxford, UK, August 28--30, 2013, Revised Selected Papers / / edited by Ashutosh Natraj, Stephen Cameron, Chris Melhuish, Mark Witkowski Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (XIII, 486 p. 239 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Optical data processing
User interfaces (Computer systems)
Data mining
Artificial Intelligence
Image Processing and Computer Vision
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Persona (resp. second.): NatrajAshutosh
CameronStephen
MelhuishChris
WitkowskiMark
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Artificial Intelligence -- Bio-inspired and Aerial Robotics -- Computer Vision -- Humanoid and Robotic Arm -- Navigation -- Swarm Robotics -- Verification and Ethics.
Sommario/riassunto: This book constitutes the refereed proceedings of the 14th Conference on Advances in Autonomous Robotics, TAROS 2013, held in Oxford, UK, in August 2013. The 36 revised full papers presented together with 25 extended abstracts were carefully reviewed and selected from 89 submissions. The papers cover various topics such as artificial intelligence, bio-inspired and aerial robotics, computer vision, control, humanoid and robotic arm, swarm robotics, verification and ethics.
Titolo autorizzato: Towards Autonomous Robotic Systems  Visualizza cluster
ISBN: 3-662-43645-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483419503321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 8069