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Co-Development of an Infant Prototype in Hardware and Simulation based on CT Imaging Data

  • The development of biomimetic robots has gained research interest in the last years as it may both help under-standing processes of motion execution in biological systems as well as developping a novel generation of intelligent and energy efficient robots. However, exact model generation that builds up on observations and robot design is very time intensive. In this paper we present a novel pipeline for co-development of biomimetic hardware and simulation models based on biological Computer Tomography (CT) data. For this purpose we exploit State of the Art rapid prototyping technologies such as 3D Printing and the Neurorobotics Platform for musculoskeletal simulations in virtual environments. The co-development integrates both advantages of virtual and physical experimental models and is expected to increase development speed of controllers that can be tested on the simulated counterpart before application to a printed robot model. We demonstrate the pipeline by generating a one year old infant model as a musculoskeletal simulation model and a print-in-place 3D printed skeleton as a single movable part. Even though we hereonly introduce the initial body generation and only a first testsetup for a modular sensory and control framework, we can clearly spot advantages in terms of rapid model generation and highly biological related models. Engineering costs are reducedand models can be provided to a wide research community for controller testing in an early development phase.

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Metadaten
Verfasserangaben:Sebastian DendorferORCiD, Benedikt Feldotto, Blasius Walch, Patrick Koch, Alois Knoll
URL / DOI:http://mediatum.ub.tum.de/doc/1520042/985669104579.pdf
Titel des übergeordneten Werkes (Englisch):IEEE International Conference on Cyborg and Bionic Systems (CBS), 2019, Munich
Dokumentart:Konferenzveröffentlichung (Beitrag)
Sprache der Veröffentlichung:Englisch
Jahr der Veröffentlichung:2019
Datum der Freischaltung:04.05.2020
GND-Schlagwort:Biomechanische Analyse; Robotik; Computertomographie; 3D-Druck
Seiten/Abspieldauer:6
Fakultäten / Institute / Einrichtungen:Fakultät Maschinenbau
Regensburg Center of Biomedical Engineering - RCBE
Fakultät Maschinenbau / Labor Biomechanik (LBM)
Begutachtungsstatus:peer-reviewed
Forschungsschwerpunkt:Lebenswissenschaften und Ethik
Lizenz (Deutsch):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG