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Research, robots, and reality: A statement on current trends in biorobotics

Published online by Cambridge University Press:  17 December 2002

Ernst Niebur ,
Mounya Elhilali ,
Iyad Obeid ,
Justin Werfel ,
Mark Blanchard ,
Mattia Frasca ,
Kaushik Ghose ,
Constanze Hofstoetter ,
Giovanni Indiveri  and
Mark W. Tilden
Ernst Niebur
Affiliation:
Zanvyl Krieger Mind/Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218 [email protected] http://cnslab.mb.jhu.edu
Mounya Elhilali
Affiliation:
Institute for Systems Research, Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742 [email protected] http://www.ece.umd.ed
Iyad Obeid
Affiliation:
Department of Biomedical Engineering, Duke University, Durham, NC 27708 [email protected] http://www.duke.edu/~io
Justin Werfel
Affiliation:
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139 [email protected] http://hebb.mit.edu/people/jkwerfel
Mark Blanchard
Affiliation:
Institute of Neuroinformatics, University of Zurich/ETH Zurich, CH-8057 Zurich, [email protected]@ini.phys.ethz.ch http://www.ini.unizh.ch http://www.ini.unizh.ch
Mattia Frasca
Affiliation:
Department of Electrical, Electronical and Systems Engineering, University of Catania, 95125 Catania, [email protected]
Kaushik Ghose
Affiliation:
Department of Psychology, University of Maryland at College Park, College Park, MD 20742 [email protected] http://www.wam.umd.edu/~kghose/research.html
Constanze Hofstoetter
Affiliation:
Institute of Neuroinformatics, University of Zurich/ETH Zurich, CH-8057 Zurich, [email protected]@ini.phys.ethz.ch http://www.ini.unizh.ch http://www.ini.unizh.ch
Giovanni Indiveri
Affiliation:
FhG-AiS, Fraunhofer Institute for Autonomous Intelligent Systems Technology, 53754 Sankt Augustin, [email protected] http://www.ais.fraunhofer.de
Mark W. Tilden
Affiliation:
Institute for Physical Sciences, Los Alamos, NM 87544 [email protected]
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Abstract

While robotics has benefited from inspiration gained from biology, the opposite is not the case: there are few if any cases in which robotic models have lead to genuine insight into biology. We analyze the reasons why biorobotics has been essentially a one-way street. We argue that the development of better tools is essential for progress in this field.

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 24 , Issue 6 , December 2001 , pp. 1072 - 1073
Copyright
© 2001 Cambridge University Press

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