There has been an increasing interest in applying biological principles to the design and control of robots. Unlike industrial robots that are programmed to execute a rather limited number of tasks, the new generation of bio-inspired robots is expected to display a wide range of behaviours in unpredictable environments, as well as to interact safely and smoothly with human co-workers. In this article, we put forward some of the properties that will characterize these new robots: soft materials, flexible and stretchable sensors, modular and efficient actuators, self-organization and distributed control. We introduce a number of design principles; in particular, we try to comprehend the novel design space that now includes soft materials and requires a completely different way of thinking about control. We also introduce a recent case study of developing a complex humanoid robot, discuss the lessons learned and speculate about future challenges and perspectives.


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    Titel :

    Soft robotics: The next generation of intelligent machines


    Beteiligte:
    Pfeifer, Rolf (Autor:in) / Marques, Hugo Gravato (Autor:in) / Iida, Fumiya (Autor:in)

    Erscheinungsdatum :

    2013-08-09


    Anmerkungen:

    Pfeifer, Rolf; Marques, Hugo Gravato; Iida, Fumiya (2013). Soft robotics: The next generation of intelligent machines. In: IJCAI 2013, Beijing, China, 3 August 2013 - 9 August 2013. AAAI Press, 5-11.



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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