Bio-inspired algorithms for tactile control of dexterous manipulation

Few years old children lift and manipulate unfamiliar objects more dexterously than today's robots. Thus, robotics researchers increasingly agree that ideas from biology can strongly benefit the design of autonomous robots. In this paper, bio-inspired algorithms for lifting unfamiliar objects w...

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Detalles Bibliográficos
Autor principal: Matuk Herrera, Rosana Isabel
Publicado: 2012
Materias:
Bio-inspired algorithms
Dexterous manipulation
Human behaviors
Load forces
Algorithms
Behavioral research
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21551774_v_n_p252_Herrera
http://hdl.handle.net/20.500.12110/paper_21551774_v_n_p252_Herrera
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_21551774_v_n_p252_Herrera
record_format dspace
spelling paper:paper_21551774_v_n_p252_Herrera2023-06-08T16:34:23Z Bio-inspired algorithms for tactile control of dexterous manipulation Matuk Herrera, Rosana Isabel Bio-inspired algorithms Dexterous manipulation Human behaviors Load forces Algorithms Behavioral research Few years old children lift and manipulate unfamiliar objects more dexterously than today's robots. Thus, robotics researchers increasingly agree that ideas from biology can strongly benefit the design of autonomous robots. In this paper, bio-inspired algorithms for lifting unfamiliar objects with grasp stability and human-like behavior are presented. In these algorithms, simulated human tactile afferent responses, drive the control of the grip and load forces, and signal important events in the lifting task. The presented model and algorithms follow closely the human behavior in a lifting task, as revealed by neurophysiological studies of human dexterous manipulation. © 2012 IEEE. Fil:Herrera, R.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21551774_v_n_p252_Herrera http://hdl.handle.net/20.500.12110/paper_21551774_v_n_p252_Herrera
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bio-inspired algorithms
Dexterous manipulation
Human behaviors
Load forces
Algorithms
Behavioral research
spellingShingle Bio-inspired algorithms
Dexterous manipulation
Human behaviors
Load forces
Algorithms
Behavioral research
Matuk Herrera, Rosana Isabel
Bio-inspired algorithms for tactile control of dexterous manipulation
topic_facet Bio-inspired algorithms
Dexterous manipulation
Human behaviors
Load forces
Algorithms
Behavioral research
description Few years old children lift and manipulate unfamiliar objects more dexterously than today's robots. Thus, robotics researchers increasingly agree that ideas from biology can strongly benefit the design of autonomous robots. In this paper, bio-inspired algorithms for lifting unfamiliar objects with grasp stability and human-like behavior are presented. In these algorithms, simulated human tactile afferent responses, drive the control of the grip and load forces, and signal important events in the lifting task. The presented model and algorithms follow closely the human behavior in a lifting task, as revealed by neurophysiological studies of human dexterous manipulation. © 2012 IEEE.
author Matuk Herrera, Rosana Isabel
author_facet Matuk Herrera, Rosana Isabel
author_sort Matuk Herrera, Rosana Isabel
title Bio-inspired algorithms for tactile control of dexterous manipulation
title_short Bio-inspired algorithms for tactile control of dexterous manipulation
title_full Bio-inspired algorithms for tactile control of dexterous manipulation
title_fullStr Bio-inspired algorithms for tactile control of dexterous manipulation
title_full_unstemmed Bio-inspired algorithms for tactile control of dexterous manipulation
title_sort bio-inspired algorithms for tactile control of dexterous manipulation
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21551774_v_n_p252_Herrera
http://hdl.handle.net/20.500.12110/paper_21551774_v_n_p252_Herrera
work_keys_str_mv AT matukherrerarosanaisabel bioinspiredalgorithmsfortactilecontrolofdexterousmanipulation
_version_ 1768544105592258560

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