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Thèse Année : 2014

Poppy: open-source, 3D printed and fully-modular robotic platform for science, art and education

Matthieu Lapeyre

Résumé

This thesis suggests novel approaches and design processes to create and produce robotic platforms, the control and morphology of which can be freely explored through experimentation in the real world, that are easy to diffuse and reproduce in the research community. Especially, this alternative design methodology is driven by the desire to: - freely explore morphological properties, - reduce the amount of time required between an idea and its experimentation on an actual robotic platform in the real world, - makes experiments that should be easy to do, actually easy to do, - make the work easily reproducible in any other lab, - keep the work modular and free to use in accordance with open source principles, so it can be reused and extended for other projects. Our approach follows novel design methods for both design and production, for all technological aspects of the robot (i.e. mechanics, actuation, electronics, software, distribution). In particular these methods relies on 3D printing for all mechanical parts, the Arduino electronic architecture for the sensors acquisition, an easy to use Python API called pypot for the control and finally the distribution of all our work under open source licenses. Using this methodology, we create the Poppy Humanoid robot, a fully modular robot allowing exploring freely the role of morphology and adapting its body to specific experimental setup. We experiment the use of this robot for several application. First, as a scientific tool and we show that Poppy can be easily and quickly modified to either explore the role of morphology or to be adapted to different experimental setups. Based on this work, but from another perspective we investigate the potential impact of such platform for educational and artistic applications.
This thesis \textbf{suggests novel approaches and design processes to create and produce robotic platforms, the control and morphology of which can be freely explored through experimentation in the real world, that are easy to diffuse and reproduce in the research community.} Especially, this alternative design methodology is driven by the desire to: - freely explore morphological properties, - reduce the amount of time required between an idea and its experimentation on an actual robotic platform in the real world, - makes experiments that should be easy to do, actually easy to do, - make the work easily reproducible in any other lab, - keep the work modular and free to use in accordance with open source principles, so it can be reused and extended for other projects. Our approach follows novel design methods for both design and production, for all technological aspects of the robot (i.e. mechanics, actuation, electronics, software, distribution). In particular these methods relies on 3D printing for all mechanical parts, the Arduino electronic architecture for the sensors acquisition, an easy to use Python API called pypot for the control and finally the distribution of all our work under open source licenses. Using this methodology, we create the Poppy Humanoid robot, a fully modular robot allowing exploring freely the role of morphology and adapting its body to specific experimental setup. We experiment the use of this robot for several application. First, as a scientific tool and we show that Poppy can be easily and quickly modified to either explore the role of morphology or to be adapted to different experimental setups. Based on this work, but from another perspective we investigate the potential impact of such platform for educational and artistic applications.
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Dates et versions

tel-01104641 , version 1 (18-01-2015)
tel-01104641 , version 2 (22-05-2015)
tel-01104641 , version 3 (13-07-2015)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

  • HAL Id : tel-01104641 , version 1

Citer

Matthieu Lapeyre. Poppy: open-source, 3D printed and fully-modular robotic platform for science, art and education. Robotics [cs.RO]. Université de Bordeaux, 2014. English. ⟨NNT : ⟩. ⟨tel-01104641v1⟩
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