Self-Organization, Embodiment, and Biologically Inspired Robotics | Zendy

Rolf Pfeifer | Zendy; Max Lungarella | Zendy; Fumiya Iida | Zendy

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Self-Organization, Embodiment, and Biologically Inspired Robotics

Author(s) -

Rolf Pfeifer,

Max Lungarella,

Fumiya Iida

Publication year - 2007

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.1145803

Subject(s) - robotics , artificial intelligence , robot , robustness (evolution) , computer science , evolutionary robotics , biological organism , human–computer interaction , biochemical engineering , biology , engineering , biological materials , biochemistry , gene

Robotics researchers increasingly agree that ideas from biology and self-organization can strongly benefit the design of autonomous robots. Biological organisms have evolved to perform and survive in a world characterized by rapid changes, high uncertainty, indefinite richness, and limited availability of information. Industrial robots, in contrast, operate in highly controlled environments with no or very little uncertainty. Although many challenges remain, concepts from biologically inspired (bio-inspired) robotics will eventually enable researchers to engineer machines for the real world that possess at least some of the desirable properties of biological organisms, such as adaptivity, robustness, versatility, and agility.

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