Mooc on Mobile Robots and Autonomous Vehicles

Christian Laugier 1, 2, * Agostino Martinelli 1, 2 Dizan Vasquez 1, 2
* Auteur correspondant
1 E-MOTION - Geometry and Probability for Motion and Action
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Mobile Robots are increasingly working in close interaction with human beings in environments as diverse as homes, hospitals, public spaces, public transportation systems and disaster areas. The situation is similar when it comes to Autonomous Vehicles, which are equipped with robot-like capabilities (sensing, decision and control). Such robots must balance constraints such as safety, efficiency and autonomy, while addressing the novel problems of acceptability and human-robot interaction. Given the high stakes involved, developing these technologies is clearly a major challenge for both the industry and the human society. The objective of this course is to introduce the key concepts required to program mobile robots and autonomous vehicles. The course presents both formal and algorithmic tools, and it also provides realistic examples and programming exercises in Python. It covers topics such as Sensor-based mapping and localization, Fusing noisy and multi-modal data to improve robustness, and Integrating human knowledge to be used for scene interpretation and decision-making.
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Cours
Doctoral. Mobile Robots and Autonolous Vehicles, Internet (Inria-uTOP), France. 2015
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https://hal.inria.fr/cel-01256021
Contributeur : Christian Laugier <>
Soumis le : mercredi 20 janvier 2016 - 23:33:27
Dernière modification le : mercredi 6 décembre 2017 - 01:20:25
Document(s) archivé(s) le : jeudi 21 avril 2016 - 11:13:50

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  • HAL Id : cel-01256021, version 1

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Christian Laugier, Agostino Martinelli, Dizan Vasquez. Mooc on Mobile Robots and Autonomous Vehicles. Doctoral. Mobile Robots and Autonolous Vehicles, Internet (Inria-uTOP), France. 2015. 〈cel-01256021〉

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