IR Based Auto-Recharging System for Autonomous Mobile Robot

As autonomous mobile robots are progressively utilized for appropriated missions, a significant issue that should be tackled is the autonomous recharging problem. The robots can be recharged by planning and arranging effectively to maximize its working efficiency. This paper presents the implementation of automatic docking robot with docking strategy and recharging capabilities. The robot is programmed using an algorithm which will guide the robot to move around in a square path of 30 inch by 30 inch continuously. While the robot is performing its assigned task, the battery remaining voltage is monitored by voltage detection module. When the battery voltage reaches threshold value of less than 12V, the microcontroller commands the robot to go back to the docking station for recharging autonomously. This system uses IR receiver sensor in front of the robot and IR transmitter sensor near docking station. The active IR transmitter sensor which transmit infrared signal located near docking area serves as landmark in guiding robot towards docking area. The robot scans the transmitted IR signal from the sensor transmitter only when it needs to charge its battery, if detected it will take the path of charging station. Once the robot approaches the charging station with the required orientation, it connects to the supply terminals for charging. The data related to battery charging voltage is transmitted by microcontroller through Bluetooth HC-05 to PLX DAQ software tool in PC stores it in the Excel sheet as the data arrive. Once the battery is fully charged the robot moves back to continue its original task

On-board Intelligence for the Furbot: a new Concept for Urban Freight Transport

International audienceThe Furbot project proposes to develop a new concept for urban freight transport. The novelty of the concept is twofold. A new architecture of light-duty, full-electrical vehicle is proposed. A great effort is devoted to energy management: new power train layout integrated in the chassis; new battery and energy management system; regenerative braking… But if attention is given to energy management for one vehicle, the Furbot concept consists in having a fleet of several vehicles offering a new sustainable and very adaptable (evolvable) urban freight transport system. In this article, we focus on the intelligent on-board unit. It has mainly two functions. First, it offers assistance to the driver: emergency braking, obstacle avoidance, parking assistance, itinerary assistance or adaptive speed control. Second, it proposes automation abilities for the loading/unloading of the payload. Regarding the multi-sensorial perception system, an intelligent human-machine interface is also conceived in order to let the driver choose between the driving modes (fully manual, assisted, automated loading), in order to provide him general information (map, mission, fleet state...) and warn him about safety issues, power caution and vehicle diagnosis.Le projet Furbot propose de développer un nouveau concept de transport de fret. La nouveauté du concept est double. Tout d'abord, un nouveau type de véhicule est proposé : léger et complètement électrique. Un grand effort est consacré à la gestion de l'énergie : nouveau système de propulsion intégré dans le châssis, batterie innovante et système de gestion de l'énergie intelligent; etc. Mais si une attention particulière est dédiée à la gestion de l'énergie pour un véhicule, le concept Furbot consiste à avoir une flotte de plusieurs véhicules qui constitue un nouveau système de transport de marchandises durable et très adapté au milieu urbain. Dans cet article, nous nous concentrons sur l'intelligence embarquée à bord du véhicule. Il a principalement deux fonctions. Tout d'abord, il offre une assistance au conducteur : freinage d'urgence, évitement d'obstacles, aide au stationnement, assistance pour le choix d'itinéraire ou de contrôle de vitesse adaptatif. Deuxièmement, il propose le chargement / déchargement de la charge utile (boîte de marchandise) en mode complètement automatique. Fort de ces innovations technologiques, une interface homme-machine intelligente est également conçu pou

A methodological survey of future mobility literature: Opportunities for design research

Online communities have fundamentally changed how humans connected and are now so common they are fundamental to the human experience. As the Internet developed for Web 1.0 to Web 2.0, the functionality of these communities has far exceeded initial expectations. These communities have shifted from simply places to share information to ways to access products and services that bridge the online and offline worlds. This shift has led to the disruption of many industries with the transportation industry being one such sector. Both private transport providers and public transport systems face competition from online communities who are able to link services providers and customers more effectively and innovatively. These types of communities fall under what has been popularised as collaborative consumption or the sharing economy. The aim of this study is to explore the role of Design-led Innovation in the creation of digital futures, specifically online connected communities for successful new mobility solutions. To explore this proposition multiple data collection methods are proposed;Content Analysis, ii) A Comparative Qualitative Study consisting of Qualitative Interviews and Focus Groups / Design Workshops and iii) An Action Research Cycle of Embedded Practice. The multidisciplinary nature of this study grounds this research in a novel position contributing to new knowledge in both the field of design, and also a deeper understanding of the larger fast-growing online community phenomena

Autonomous Docking Based on Infrared System for Electric Vehicle Charging in Urban Areas

Electric vehicles are progressively introduced in urban areas, because of their ability to reduce air pollution, fuel consumption and noise nuisance. Nowadays, some big cities are launching the first electric car-sharing projects to clear traffic jams and enhance urban mobility, as an alternative to the classic public transportation systems. However, there are still some problems to be solved related to energy storage, electric charging and autonomy. In this paper, we present an autonomous docking system for electric vehicles recharging based on an embarked infrared camera performing infrared beacons detection installed in the infrastructure. A visual servoing system coupled with an automatic controller allows the vehicle to dock accurately to the recharging booth in a street parking area. The results show good behavior of the implemented system, which is currently deployed as a real prototype system in the city of Paris

Dual-modular architecture for developing and validation of decision and control modules for automated vehicles

[ES] El avance logrado durante las últimas décadas en los sistemas avanzados de asistencia a la conducción (ADAS, Advanced Driver Assistance System) ha posibilitado mejorar múltiples aspectos en los vehículos comerciales, como por ejemplo la seguridad, robustez de los sistemas, eficiencia energética, detección de peatones, aparcamiento asistido y ayudas a la navegación, entre otros. Algunos desarrollos, como el control lateral y la generación óptima de trayectorias en tiempo real, están en pleno desarrollo. En este trabajo se presenta una arquitectura dual-modular cuyas principales características son su capacidad para integrar y probar nuevos algoritmos de control y decisión (modular), y la posibilidad de llevar a cabo pruebas en entornos simulados y en plataformas reales (dual), reduciendo los tiempos y costes de desarrollo. Con esta arquitectura se han podido probar diferentes técnicas de control y de generación de trayectorias, realizando además simulaciones, y comparando los resultados[EN] In last decades, the advances done in the Advanced Driver Assistance System (ADAS) have improved multiple aspects in the vehicles, as: safety, system robustness, power eciency, pedestrian detection and road lanes, assisted parking, navigation, etc. In the other hand, lateral control and generation of optimal trajectories in real time, are under development. In this work, we present a dual modular architecture. Its principal characteristics are the capacity of integrate and test new control algorithms, and the possibility of making tests with the simulation environment and the real platform (dual), reducing the development time. This architecture has been used to test dierent techniques for control and trajectory generation. 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