Hand-Object Interaction: From Human Demonstrations to Robot Manipulation - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue Frontiers in Robotics and AI Année : 2021

Hand-Object Interaction: From Human Demonstrations to Robot Manipulation

Résumé

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.
Fichier principal
Vignette du fichier
frobt-08-714023.pdf (800.84 Ko) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03388446 , version 1 (20-10-2021)

Identifiants

Citer

Alessandro Carfì, Timothy Patten, Yingyi Kuang, Ali Hammoud, Mohamad Alameh, et al.. Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. Frontiers in Robotics and AI, 2021, 8, ⟨10.3389/frobt.2021.714023⟩. ⟨hal-03388446⟩
71 Consultations
83 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More