Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Nicola Tomatis"'
Autor:
Antoine Lorotte, Xavier Greppin, Roland Philippsen, Grégoire Terrien, Roland Siegwart, Nicola Tomatis, Gilles Froidevaux, Samir Bouabdallah, Guy Ramel, Björn Jensen, Kai O. Arras, R. Piguet, Daniel Burnier, Mathieu Meisser, L. Mayor
Publikováno v:
Robotics and Autonomous Systems. 42:203-222
In this paper we present Robox, a mobile robot designed for operation in a mass exhibition and the experience we made with its installation at the Swiss National Exhibition Expo.02. Robox is a fully autonomous mobile platform with unique multi-modal
Autor:
Nicola Tomatis
Publikováno v:
IEEE Robotics & Automation Magazine. 18:14-16
Publikováno v:
Robotics and Autonomous Systems. 34:131-143
This paper presents an approach for localization using geometric features from a 360 laser range finder and a monocular vision system. Its practicability under conditions of continuous localization during motion in real time (referred to as on-the-fl
Autor:
Sabrina Belvisi, Nicola Tomatis, Ezio Venturino, Theodore E. Simos, George Psihoyios, Ch. Tsitouras
Publikováno v:
AIP Conference Proceedings.
Using a suitable functional response for which recognizable infectives are avoided by their consimilar, we construct and analyse a predator‐prey ecoepidemic model with disease in the predators. Sustained limit cycles for the three populations in th
Autor:
Nicola Tomatis
Publikováno v:
Robotics and Cognitive Approaches to Spatial Mapping ISBN: 9783540753865
Robotics and Cognitive Approaches to Spatial Mapping
Robotics and Cognitive Approaches to Spatial Mapping
This chapter describes an approach for indoor spatial representation, which is used to model the environment for the navigation of a fully autonomous robot. The metric and topological paradigms are integrated in a hybrid system for both localization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448db0773d9d0cc3a4d3e8497147e141
https://doi.org/10.1007/978-3-540-75388-9_4
https://doi.org/10.1007/978-3-540-75388-9_4
Publikováno v:
Autonomous Robots, 23 (2)
Autonomous Robots, 23 (2)
ISSN:0929-5593
ISSN:1573-7527
ISSN:0929-5593
ISSN:1573-7527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf47e567694e0a6e6b13624e91721d8a
https://hdl.handle.net/20.500.11850/9089
https://hdl.handle.net/20.500.11850/9089
Publikováno v:
Autonomous Robots, 22 (1)
Autonomous Robots, 22 (1)
ISSN:0929-5593
ISSN:1573-7527
ISSN:0929-5593
ISSN:1573-7527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4c6ca0cd0ff0309bfcd7bee50011ddc
https://hdl.handle.net/20.500.11850/160018
https://hdl.handle.net/20.500.11850/160018
Publikováno v:
Robotics and Autonomous Systems
Robotics and Autonomous Systems, Elsevier, 2007
Robotics and Autonomous Systems, 2007
Robotics and Autonomous Systems, Elsevier, 2007
Robotics and Autonomous Systems, 2007
This paper presents a solution to the Simultaneous Localization and Mapping (SLAM) problem in the stochastic map framework based on the concept of the relative map. The idea consists in introducing a map state, which only contains relative quantities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2287d5321ae572ac822bd16ac9dee46
https://hal.inria.fr/inria-00182088
https://hal.inria.fr/inria-00182088
Publikováno v:
IROS
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2006, Beijing (CN), China
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems
Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2006, Beijing (CN), China
Today, lightweight SLAM algorithms are needed in many embedded robotic systems. In this paper the orthogonal SLAM (OrthoSLAM ) algorithm is presented and empirically validated. The algorithm has constant time complexity in the state estimation and is
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783540288169
ISER
ISER
Navigation in unknown or partially unknown environments remains one of the biggest challenges in today\'s mobile robotics. Environmental modeling, perception, localization and mapping are all needed for a successful approach. The contribution of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9e6aa48491a9477c006c20d84ba57c6
https://doi.org/10.1007/11552246_10
https://doi.org/10.1007/11552246_10