Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/93190
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dc.contributor.authorMartins, Ricardo Filipe Alves-
dc.contributor.authorFaria, Diego-
dc.contributor.authorDias, Jorge-
dc.date.accessioned2021-02-23T22:55:55Z-
dc.date.available2021-02-23T22:55:55Z-
dc.date.issued2012-03-05-
dc.identifier.urihttps://hdl.handle.net/10316/93190-
dc.description.abstractDuring the last years the principles and demands guiding the design and implementation of robotic platforms are changing. Nowadays, robotic platforms are tendency equipped with a conjugation of multi-modal artificial perception systems (stereo vision, tactile sensing) and complex actuation systems (multi-articulated robotic hands, arms and legs). This artificial perception systems are required by robotic systems to navigate and interact with the environment and persons. This work is focused in the artificial perception systems related with the robotic manipulation strategies used to dexterously interact with deformable objects in the environment.In this context, the robotic dexterous manipulation of objects require that the framework used to represent the characteristics of the deformable manipulated objects should be suitable to receive inputs from multiple exploratory elements(multi- fingered robotic hands) and to progressively update that representation status as long as the exploration progresses on time. The framework should be also designed to incorporate the uncertainty and errors associated to the sensing process in this type of dynamic environments, and to deal with novelty by characterizing objects of new softness characteristics to the system based on the previous knowledge and interactions with a restricted set of reference materials, that constitute the haptic memory of the system. In order to provide to the robotic hands the capability to differentiate deformable objects with distinct softness characteristics and to dexterously manipulate them, this work analyses the principles and strategies used by humans to successfully perform such type of tasks, using predominatelyhaptic information. During the object exploration, the per-ception and discrimination capability of softness characteristics depend on both cutaneous and kinesthetic information by executing press and release movements [2] - active haptic perception. This has been demonstrated byl experiments performed by Srinivasan and Lamotte [5].pt
dc.language.isoengpt
dc.rightsopenAccesspt
dc.titleRepresentation framework of perceived object softnesscharacteristics for active robotic hand explorationpt
dc.typeconferenceObjectpt
degois.publication.titleHRI 2012 - 7th ACM/IEEE International Conference on Human Robot Interaction - Workshop on Advances in Tactile Sensing and Touch based Human-Robot Interactionpt
dc.peerreviewedyespt
dc.identifier.doi10.5281/zenodo.4553427-
dc.date.embargo2012-03-05*
uc.date.periodoEmbargo0pt
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.languageiso639-1en-
crisitem.author.researchunitISR - Institute of Systems and Robotics-
crisitem.author.parentresearchunitUniversity of Coimbra-
crisitem.author.orcid0000-0001-7184-185X-
crisitem.author.orcid0000-0002-2725-8867-
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Livros de Actas
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