Abstract
The design phase of a car development is a long and tedious process requiring a lot of trials and errors. In this paper, we introduce a new concept aiming at making this process easier and more interactive. Our solution mixes self-reconfigurable autonomous robots forming programmable matter and a shape-memory polymer surface that produces an interactive model of the desired object. We propose a global algorithm to manage the interactions with the users and the self-reconfiguration of programmable matter to mold the polymer surface. We detail the technical aspects used to define the new shape of the programmable matter to better approach a goal surface described by a Non-Uniform Rational Basis Splines (NURBS) using a dichotomy algorithm.
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Acknowledgements
This work was partially supported by the ANR (ANR-16-CE33-0022-02), the French Investissements d’Avenir program, ISITE-BFC project (ANR-15-IDEX-03), Labex ACTION program (ANR-11-LABX-01-01) and the Mobilitech project.
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Pescher, F., Piranda, B., Delalande, S., Bourgeois, J. (2019). Molding a Shape-Memory Polymer with Programmable Matter. In: Correll, N., Schwager, M., Otte, M. (eds) Distributed Autonomous Robotic Systems. Springer Proceedings in Advanced Robotics, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-05816-6_5
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DOI: https://doi.org/10.1007/978-3-030-05816-6_5
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