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Articoli di riviste sul tema "Robots hétérogènes"
Cadenza Academic Translations, Yuko Tamaki Welply, Matt Burden e Mark Mellor. "Whose needs and what needs? Social robots in eldercare settings in Japan". Gérontologie et société 46/ n° 175, n. 3 (20 dicembre 2024): I—XVIII. https://doi.org/10.3917/gs1.175.i.
Testo completoChabaud-Rychter, Danielle. "L’innovation industrielle dans l’électroménager : conception pour l’usage et conception pour la production". Articles 9, n. 1 (12 aprile 2005): 15–36. http://dx.doi.org/10.7202/057866ar.
Testo completoKilani, Mondher. "Culture". Anthropen, 2019. http://dx.doi.org/10.17184/eac.anthropen.121.
Testo completoTesi sul tema "Robots hétérogènes"
Chenchana, Bilel. "Localisation collaborative visuelle-inertielle de robots hétérogènes communicants". Thesis, Limoges, 2019. http://www.theses.fr/2019LIMO0018/document.
Testo completoLocalization is of crucial importance for robots navigation. This importance has allowed the emergence of several precise localization techniques. Our contribution consists of proposing a transition from an individual inertial visual localization technique to the multi-robots collaborative localization case. This work aims to achieve a collaborative localization as fast, robust and accurate as the individual starting technique. We adopt a tightly coupled MSCKF (Multi State Constraint Kalman Filter) approach to achieve the data fusion. The characteristics of this data fusion are first studied in the individual case to test the robustness and the precision under different conditions and with different observation models. The results of this study directed us towards the best structure adapted to an augmentation to the collaborative localization case. The proposed collaborative algorithm is a hierarchical process of three stages. A collaborative localization is initialized based on the relative distance measurements using Ultra-Wide Band (ULB) sensors. Then, a collaborative localization based on images overlapping using a suitable measurement model, and a data fusion structure that absorbs the computation time excess caused by the collaboration is achieved. Finally, to increase precision, an extraction of the environment constraints, followed by an integration using a truncation in the filter are proposed
Séverac, Gaëtan. "Étude et simulation des mécanismes d'interaction pour l'exécution de missions d'exploration planétaire réalisées par un ensemble d'engins hétérogènes". Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2696/.
Testo completoThe purpose of this research is to change the way planetary exploration missions are handled. ?Currently, much research focuses on increasing autonomy from the ground of the devices sent,?but we stay in a single-engine overall scheme where each machine is managed individually. ?In the future, planetary exploration will evolve into more complex automated missions involving numerous and heterogeneous devices such as rovers, orbiters, fixed stations, UAVs, airships, mobiles sensors or even submarine. In addition, missions will be executed in phases related to the arrival of new machines or the end of the activity of others. It is difficult to imagine that the whole supervision process of such a mission can be effectively managed from Earth. The subject of this research is to study the interaction mechanisms that might be embedded in the agents to improve, for example, the autonomy of an insertion phase of a new machine in a pre-existing teams network. It is particularly important to consider how we can characterize the "skills" of an agent and how devices would, dynamically, share this information in order to build an appropriate teams and achieve the mission objectives. The overall theme is about the dynamic and autonomous organization of multi-agent systems
Robin, Cyril. "Modèles et algorithmes pour systèmes multi-robots hétérogènes : application à la patrouille et au suivi de cible". Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0037/document.
Testo completoDetecting, localizing or following targets is at the core of numerous robotic applications in industrial, civilian and military application contexts. Much work has been devoted in various research communities to planning for such problems, each community with a different standpoint. Our thesis first provides a unifying taxonomy to go beyond the frontiers of specific communities and specific problems, and to enlarge the scope of prior surveys. We review various work related to each class of problems identified in the taxonomy, highlighting the different approaches, models and results. This analysis specifically points out the lack of representativityof the exploited models, which are in vast majority only 2D single-layer models where motion and sensing are mixed up. We consider those unrealistic models as too restrictive to handle the full synergistic potential of an heterogeneous team of cooperative robots. In response to this statement, we suggest a new organisation of the necessary models, stating clearly the links and separation between models and planning algorithms. This has lead to the development of a C++ library that structures the available models and defines the requests required by the planning process. We then exploit this library through a set of algorithms tackling area patrolling and target tracking. These algorithms are supported by a sound formalism and we study the impact of the models on the observed performances, with an emphasis on the complexity and the quality of the resultingsolutions. As a more general consideration, models are an essential link between Artificial Intelligence and applied Robotics : improving their expressiveness and studying them rigorously are the keys leading toward better robot behaviours and successful robotic missions. This thesis help to show how important the models are for planning and other decision processes formulti-robot missions
Nico, Thibaut. "Étude et développement de solutions de relocalisation d'objets sous-marins par des véhicules sous-marins hétérogènes". Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2019. http://www.theses.fr/2019ENTA0005.
Testo completoIn the Mine Counter Measure (MCM) context in the underwater environment, it is vital to revisit some potentially dangerous objects to identify and neutralize them if they are actually mines. This dangerous task was usually performed by humandivers but more and more it is conducted by unmanned underwater robots. Due to the low cost design of the revisit/mine-killer robot, going straightforward to the geolocalized suspicious object does not guarantee that the robot will redetect it.Moreover the robot may dive at a far position from the target and the lack of absolute positioning system in underwater environment demands a strategy to follow to guarantee the revisit of this target. Based on a priori information in the working area and especially the presence of geolocalized landmarks, the problem is solved as a motion planning problem considering uncertainties due to the increasing error when navigating underwater. In the context of bounded errors, the problem is solved in a set-membership manner. Firstly, based on the location and the shape of the landmarks, and on the visibility area of the sensor embedded, the registration maps are computed indicating the sets of robot poses to detect the different landmarks considered in order to reduce the uncertainty on the robot position. Secondly, based on a parametric motion model with uncertain parameters, an high level strategy is provided through a raph optimization. The strategy consists in navigating between the registration maps toreduce each times the uncertainty in position of therobot and finally to guarantee the reachability of agoal area corresponding to the redetection of the target
Parodi, Olivier. "Simulation hybride pour la coordination de véhicules hétérogènes au sein d'une flottille". Montpellier 2, 2008. http://www.theses.fr/2008MON20198.
Testo completoGerma, Thierry. "Fusion de données hétérogènes pour la perception de l'homme par robot mobile". Phd thesis, Toulouse 3, 2010. http://thesesups.ups-tlse.fr/1016/.
Testo completoThis work has been realized under the CommRob European project involving several academic and industrial partners. The goal of this project is to build a robot companion able to act in structured and dynamic environments cluttered by other agents (robots and humans). In this context, our contribution is related to multimodal perception of humans from the robot (users and passers-by). The multimodal perception induces the development and integration of perceptual functions able to detect, to identify the people and to track the motions in order to communicate with the robot. Proximal detection of the robot's users uses a multimodal perception framework based on heterogeneous data fusion from different sensors. The detected and identified users are then tracked in the video stream extracted from the embedded camera in order to interpret the human motions. The first contribution is related to the definition of perceptual functions for detecting and identifying humans from a mobile robot. The second contribution concerns the spatio-temporal analysis of these percepts for user tracking. Then, this work is extended to multi-target tracking dedicated to the passers by. Finally, as it is frequently done in robotics, our work contains two main topics: on one hand the approaches are formalized; on the other hand, these approaches are integrated and validated through live experiments. All the developments done during this thesis has been integrated on our platform Rackham and on the CommRob platform too
Razafimandimby, Anjalalaina Jean Cristanel. "Toward internet of heterogeneous things : wireless communication maintenance and efficient data sharing among devices". Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10074/document.
Testo completoDespite of the large success of IOT, most of its applications are based only on static actuation. However, adding an active role for actuators will be needed, in order to optimize the systems where they are present. To achieve this goal, in this thesis, we introduce a new concept called Internet of Heterogeneous Things which takes into account both static and dynamic actuation. The dynamic actuation is provided by a mobile robot or a mobile sensor. In this case, we exploit the potential of controlled mobility by proposing efficient algorithms to maintain the global connectivity among devices. We show by simulation the efficiency of the proposed algorithms and their performance in terms of convergence time, connectivity, and traveled distance. Once the connectivity among devices is guaranteed, another major challenge that should be solved is the huge amount of data they generate and transmit. To tackle this problem, we propose a Bayesian Inference Approach which allows avoiding the transmission of high correlated data. Belief Propagation algorithm, coupled with the Markov Random Field model, is used in this case to reconstruct the missing sensing data. According to different scenarios, our approach is evaluated based on the real data collected from sensors deployed on indoor and outdoor environments. The results show that our proposed approach reduces drastically the number of transmitted data and the energy consumption, while maintaining an acceptable level of inference error and information quality
Parodi, Olivier. "Simulation hybride pour la coordination de véhicules hétérogènes au sein d'une flottille". Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2008. http://tel.archives-ouvertes.fr/tel-00373347.
Testo completoLa complexité des architectures de contrôle d'une part et les difficultés soulevées par le choix de stratégies de contrôle multi-véhicules d'autre part, rendent nécessaires la création de nouveaux outils de simulation permettant de tester et valider lois de commande et architectures de contrôle tout en détectant les inconsistances préliminaires des scenarios envisagés. L'objet de cette thèse est donc l'étude d'un outil de simulation collaboratif appelé THETIS.
Il s'agit d'un simulateur conçu avant tout pour aborder les problèmes liés au contexte de la flottille. Il est multi-véhicules hétérogènes puisqu'il permet de simuler par exemple, un scenario dans lequel un AUV (Autonomous Underwater Vehicle) et un ASV (Autonomous Surface Vehicle) interviennent simultanément. Les véhicules peuvent communiquer entre eux au sein de la simulation et les contraintes liées au milieu de propagation (interférences, bande passante, atténuation...) d'une part et à l'utilisation de matériel spécifique (temps de réveil, conflit émission/réception...) d'autre part sont prises en compte. L'architecture du simulateur est ouverte pour faciliter l'intégration et la mise à disposition pour tous, du travail de modélisation des différentes équipes possédant des compétences propres, tout en favorisant la réutilisabilité et la modularité de ces modèles. La capacité du système proposé à réaliser des simulations Hardware-In-The-Loop permet de tester et valider le comportement temporel du contrôleur. Par ailleurs ce simulateur est distribué afin de pouvoir étendre dynamiquement la puissance de calcul nécessitée par l'augmentation du nombre de véhicules et/ou la complexification des modèles, tout en respectant les contraintes temps-réel et le découplage temporel entre la commande et l'évolution des modèles dynamiques.
THETIS est donc un des seuls outils à l'heure actuelle répondant aux contraintes liées au contexte de la simulation de robots marins en flottille. Nous présentons des tests préliminaires mettant en œuvre un AUV de classe Taipan (développée au LIRMM en France) d'une part et un ASV Charlie (développé par l'ISSIA en Italie) d'autre part qui possèdent des architectures de contrôle différentes, et démontrons ainsi la faisabilité et la validité de notre approche.
Gandois, Alvin. "Cοοrdinatiοn d'une flοtte hétérοgène de rοbοts pοur la récοlte d'infοrmatiοn dans un envirοnnement incοnnu". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC242.
Testo completoIn this thesis, we study the problem of information gathering in an unknown and partially observable environment with heterogeneous agents. We consider an environment containing a set of interest points, with the objective of coordinating heterogeneous agents in order to gather information on these points. The heterogeneity of the agents can manifest in various ways: multiple agents with different observation capacities, different transport capabilities, varying resources, or a single agent equipped with multiple heterogeneous sensors. We started by proposing a model to gather information with multiple heterogeneous agents in a partially observable yet topologically known environment. This model, which we have named Meta-MDP, is based on Markov decision processes and operates in two stages: first, for each agent and each interest point, we calculate a policy to gather information on that particular point. Then, we compute a policy for allocating interest points to agents in a way that optimizes long-term information gathering. Then, we extended this model to the case where a single agent, equipped with multiple heterogeneous sensors (typically a laser sensor and a camera), operates in an unknown environment with the goal of building a map of the environment while simultaneously gathering information on potential interest points
Jiang, Wei. "Contrôle de la formation et du confinement variable dans le temps et entièrement distribué pour les systèmes multi-agents/ multi-robots". Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0016/document.
Testo completoThis thesis deals with the time-varying formation and containment control for linear time-invariant multi-agent systems with heterogeneity considering constant / time-varying input / output delays and matched / mismatched disturbances under directed and fixed communication topology. New formats of time-varying formation shapes for homogeneous and heterogeneous systems are proposed. The controllers, which are designed based on predictive and adaptive techniques with observer technique, are fully distributed and can be applied to large-scale systems. The application on linearized heterogeneous multi mobile robot systems is verified