In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot.

Insect-Inspired Body Size Learning Model on a Humanoid Robot

A Vitanza
2018

Abstract

In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot.
Campo DC Valore Lingua
dc.authority.anceserie PROCEEDINGS OF THE ... IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (ONLINE) -
dc.authority.people P Arena it
dc.authority.people L Patanè it
dc.authority.people D Sanalitro it
dc.authority.people A Vitanza it
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dc.date.issued 2018 -
dc.description.abstracteng In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot. -
dc.description.affiliations Dieei- Univ. of Catania, ICT -Innovation and Research Unit, "IRCCS - Casa Sollievo della Sofferenza" -
dc.description.allpeople P. Arena;L. Patanè;D. Sanalitro;A. Vitanza -
dc.description.allpeopleoriginal P. Arena and L. Patanè and D. Sanalitro and A. Vitanza -
dc.description.fulltext none en
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dc.identifier.doi 10.1109/BIOROB.2018.8487635 -
dc.identifier.isbn 978-1-5386-8183-1 -
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dc.identifier.uri https://hdl.handle.net/20.500.14243/364721 -
dc.language.iso eng -
dc.relation.conferencedate 26/08/2018, 29/08/2018 -
dc.relation.conferencename 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) -
dc.relation.conferenceplace Enschede -
dc.relation.firstpage 1127 -
dc.relation.lastpage 1132 -
dc.subject.keywords Humanoid robots; learning (artificial intelligence); neural networks; insect-inspired body size learning model; spiking neurons; Drosophila melanogaster; Darwin-OP robot; parallax method; Robot sensing systems; Biological system modeling; Insects -
dc.subject.singlekeyword Humanoid robots *
dc.subject.singlekeyword learning (artificial intelligence) *
dc.subject.singlekeyword neural networks *
dc.subject.singlekeyword insect-inspired body size learning model *
dc.subject.singlekeyword spiking neurons *
dc.subject.singlekeyword Drosophila melanogaster *
dc.subject.singlekeyword Darwin-OP robot *
dc.subject.singlekeyword parallax method *
dc.subject.singlekeyword Robot sensing systems *
dc.subject.singlekeyword Biological system modeling *
dc.subject.singlekeyword Insects *
dc.title Insect-Inspired Body Size Learning Model on a Humanoid Robot en
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scopus.contributor.name Paolo -
scopus.contributor.name Luca -
scopus.contributor.name Dario -
scopus.contributor.name Alessandra -
scopus.contributor.subaffiliation Dipartimento di Ingegneria Elettrica;Elettronica e Informatica; -
scopus.contributor.subaffiliation Dipartimento di Ingegneria Elettrica;Elettronica e Informatica; -
scopus.contributor.subaffiliation Dipartimento di Ingegneria Elettrica;Elettronica e Informatica; -
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scopus.contributor.surname Arena -
scopus.contributor.surname Patané -
scopus.contributor.surname Sanalitro -
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scopus.description.abstracteng In this paper an insect-inspired body size learning algorithm is adopted in a humanoid robot and a control system, mainly developed with spiking neurons, is proposed. It implements an evaluation of distances by using the typical parallax method performed by different insect species, such as Drosophila melanogaster. A Darwin-OP robot was used as testbed to demonstrate the potential application of the learning method on a humanoid structure. The robot, equipped with a hand extension, was free to move in an environment to discover objects. As consequence, it was able to learn, using an operant conditioning, which objects can be reached, via the estimation of their distance on varying the length of the equipped tool. The learning scheme was tested both in a dynamical simulation environment and with the Darwin-OP robot. *
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