Hand-Object Interaction: From Human Demonstrations to Robot Manipulation

Human-object interaction is of great relevance for robots to operate in human environments. However, state-of-the-art robotic hands are far from replicating humans skills. It is, therefore, essential to study how humans use their hands to develop similar robotic capabilities. This article presents a...

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Detalles Bibliográficos
Autores: Carfi, Alessandro, Patten, Timothy, Kuang, Yingyi, Hammoud, Ali, Alameh, Mohamad, Maiettini, Elisa, Weinberg, Abraham Itzhak, Faria, Diego, Mastrogiovanni, Fulvio, Alenyà, Guillem, Natale, Lorenzo, Perdereau, Véronique, Vincze, Markus, Billard, Aude
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/261303
Acceso en línea:http://hdl.handle.net/10261/261303
Access Level:acceso abierto
Palabra clave:Hand-object interaction
Learning from demonstration
Imitation learning
Transfer learning
Grasping
Manipulation
Anthropomorphic hands, Data extraction
Descripción
Sumario:Human-object interaction is of great relevance for robots to operate in human environments. However, state-of-the-art robotic hands are far from replicating humans skills. It is, therefore, essential to study how humans use their hands to develop similar robotic capabilities. This article presents a deep dive into hand-object interaction and human demonstrations, highlighting the main challenges in this research area and suggesting desirable future developments. To this extent, the article presents a general definition of the hand-object interaction problem together with a concise review for each of the main subproblems involved, namely: sensing, perception, and learning. Furthermore, the article discusses the interplay between these subproblems and describes how their interaction in learning from demonstration contributes to the success of robot manipulation. In this way, the article provides a broad overview of the interdisciplinary approaches necessary for a robotic system to learn new manipulation skills by observing human behavior in the real world.