1,484 research outputs found

    Different robotics platforms for different teaching needs

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    When facing the problem of teaching the basis of robot control programming to computer science students, apart from the syllabus of the course, some other requirements have to be taken into account. For instance, which are the most appropriate robotic platforms, and which are the best programming tools for teaching it. In this paper we describe the platforms and programming environments chosen for different senior and graduate robotic courses at Rey Juan Carlos University, focusing on the reasons under our choices. We also point out the practical assignments demanded on the courses. Finally, we will present the results along four years, the feedback from our students, and the lessons we have learne

    10081 Abstracts Collection -- Cognitive Robotics

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    From 21.02. to 26.02.2010, the Dagstuhl Seminar 10081 ``Cognitive Robotics \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

    Metrics and benchmarks in human-robot interaction: Recent advances in cognitive robotics

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    International audienceRobots are having an important growing role in human social life, which requires them to be able to behave appropriately to the context of interaction so as to create a successful long-term human-robot relationship. A major challenge in developing intelligent systems , which could enhance the interactive abilities of robots, is defining clear metrics and benchmarks for the different aspects of human-robot interaction, like human and robot skills and performances, which could facilitate comparing between systems and avoid application-biased evaluations based on particular measures. The point of evaluating robotic systems through metrics and benchmarks, in addition to some recent frameworks and technologies that could endow robots with advanced cognitive and communicative abilities, are discussed in this technical report that covers the outcome of our recent workshop on current advances in cognitive robotics: Towards Intelligent Social Robots-Current Advances in Cognitive Robotics, in conjunction with the 15th IEEE-RAS Humanoids Conference-Seoul-South Korea-2015 (https://intelligent-robots-ws.ensta-paristech.fr/). Additionally, a summary of an interactive discussion session between the workshop participants and the invited speakers about different issues related to cognitive robotics research is reported

    Artificial Vision in the Nao Humanoid Robot

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    Projecte Final de Màster UPC realitzat en col.laboració amb l'Universitat Rovira i Virgili. Departament d'Enginyeria Informàtica i MatemàtiquesRobocup is an international robotic soccer competition held yearly to promote innovative research and application in robotic intelligence. Nao humanoid robot is the new RoboCup Standard Platform robot. This platform is the new Nao robot designed and manufactured by the french company Aldebaran Robotics. The new robot is an advanced platform for developing new computer vision and robotics methods. This Master Thesis is oriented to the study of some fundamental issues for the artificial vision in the Nao humanoid robots. In particular, color representation models, real-time segmentation techniques, object detection and visual sonar approaches are the computer vision techniques applied to Nao robot in this Master Thesis. Also, Nao’s camera model, mathematical robot kinematic and stereo-vision techniques are studied and developed. This thesis also studies the integration between kinematic model and robot perception model to perform RoboCup soccer games and RoboCup technical challenges. This work is focused in the RoboCup environment but all computer vision and robotics algorithms can be easily extended to another robotics fields
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