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978-3-95900-358-2A Holistic Framework for the Design, Modeling, and Control of Soft Pneumatic Robot Systems Autor*in: Gundula Runge Borchert ISBN: 978 3 95900 358 2 Dissertation, Leibniz Universitt Hannover, 2019 Herausgeber*in der Reihe: Annika Raatz Band Nr.: match 01 2019 Umfang: 231 Seiten, 77 Abbildungen Schlagworte: Soft Robotics, FEM, Kinematik, Knstliche Neuronale Netze, Robot Kinematics, Artificial Neural Networks Kurzfassung: Unlike conventional rigid link
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A Holistic Framework for the Design, Modeling, and Control of Soft Pneumatic Robot Systems

Autor*in: Gundula Runge-Borchert

ISBN: 978-3-95900-358-2

Dissertation, Leibniz Universität Hannover, 2019

Herausgeber*in der Reihe: Annika Raatz

Band-Nr.: match 01/2019

Umfang: 231 Seiten, 77 Abbildungen

Schlagworte: Soft Robotics, FEM, Kinematik, Künstliche Neuronale Netze, Robot Kinematics, Artificial Neural Networks

Kurzfassung: Unlike conventional rigid-link robots, soft robots predominantly consist of soft materials, i.e. materials whose Young's modulus is of the order of that of  soft biological tissues. Soft robots are naturally compliant and possess a virtually infinite number of degrees of freedom, which enables them to operate  in unstructured environments, squeeze through confined orifices or perform whole-arm soft manipulation. Owing to these properties, soft robots are likely to  take over tasks that are currently beyond the scope of conventional rigid-link robots and may one day even bridge the gap between robots and humans in  our society.
This dissertation contributes to the advancement of the field by introducing a coherent methodology for the design, modeling, and closed-loop  control of soft robots. The methodology is envisioned to provide the theoretical basis for the development of simulation tools that can cause a shift in the  design flow from an experimentally driven approach to a well-defined engineering workflow. Along with the theoretical foundations of the methodology, a  software framework is presented, which enables the computer-aided design and modeling of a broad spectrum of soft robot morphologies. The framework  effectively combines FE models with modules for design optimization, model learning, and kinematic control and integrates them into a common software  tool.

978-3-95900-358-2

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