Self-Organization, Embodiment, and Biologically Inspired Robotics Export

@article{citeulike:1926034, abstract = {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. 10.1126/science.1145803}, author = {Pfeifer, Rolf and Lungarella, Max and Iida, Fumiya}, citeulike-article-id = {1926034}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1145803}, citeulike-linkout-1 = {http://www.sciencemag.org/cgi/content/abstract/318/5853/1088}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18006736}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18006736}, day = {16}, doi = {10.1126/science.1145803}, journal = {Science}, keywords = {biological-inspired-modeling, complexity, neuro-mechanics, neuro-morphic, robotics}, month = {November}, number = {5853}, pages = {1088--1093}, posted-at = {2009-10-09 06:21:42}, priority = {2}, title = {Self-Organization, Embodiment, and Biologically Inspired Robotics}, url = {http://dx.doi.org/10.1126/science.1145803}, volume = {318}, year = {2007} }

TY - JOUR ID - citeulike:1926034 L3 - citeulike-article-id:1926034 N2 - 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. 10.1126/science.1145803 IS - 5853 JF - Science EP - 1093 TI - Self-Organization, Embodiment, and Biologically Inspired Robotics VL - 318 SP - 1088 KW - biological-inspired-modeling KW - complexity KW - neuro-mechanics KW - neuro-morphic KW - robotics AU - Pfeifer, Rolf AU - Lungarella, Max AU - Iida, Fumiya PY - 2007/11/16/ UR - http://dx.doi.org/10.1126/science.1145803 ER -