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Human-like reflexes for robotic manipulation using leaky integrate-and-fire neurons

 
: Bauer, C.; Milighetti, G.; Yan, W.; Mikut, R.

:
Postprint urn:nbn:de:0011-n-1486652 (1.6 MByte PDF)
MD5 Fingerprint: 43c2ac24bea4dc57e0bd6d308b65497f
© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 21.12.2010


Institute of Electrical and Electronics Engineers -IEEE-; Robotics Society of Japan -RSJ-:
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2010 : October 18-22, 2010, Taipei, Taiwan
New York, NY: IEEE, 2010
ISBN: 978-1-4244-6676-4
ISBN: 978-1-4244-6674-0
ISBN: 1-4244-6674-1
ISBN: 978-1-4244-6675-7
S.2572-2577
International Conference on Intelligent Robots and Systems (IROS) <23, 2010, Taipei>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
In this paper we present an approach to transfer human-like reflex behavior to robots by utilizing leaky integrate-and-fire neurons. For the acceptance of robots in general and humanoid robots, which are even closer to people's daily life, in particular a main aspect is their appearance and how they act and move in human centered environments. Especially safety strategies are crucial for a widespread acceptance of these machines. In our work we target this safety aspect by approaching this issue from the direction how humans respond to external stimuli. To achieve such human-like reflexes a general reflex unit, based on special variants of the leaky integrate-and-fire neuron model has been built. Instances of this reflex unit are adapted to special reflex types and connected to form dependent reflex behaviors. The concept of these neural structures and its evaluation by means of several experiments are presented in this paper. The results are depicted in detail and future aspects of our ongoing work are addressed.

: http://publica.fraunhofer.de/dokumente/N-148665.html