Literature DB >> 24808271

The role of haptic feedback for the integration of intentions in shared task execution.

Raphaela Groten, Daniela Feth, Roberta L Klatzky, Angelika Peer.   

Abstract

Recent developments strive for realizing robotic systems that not only interact, but closely collaborate with humans in performing everyday manipulation tasks. Successful collaboration requires the integration of the individual partner's intentions into a shared action plan, which may involve continuous negotiation of intentions. We focus on collaboration in a kinesthetic task, i.e., joint object manipulation. Here, ways must be found to integrate individual motion and force inputs from the members of the human-robot team, in order to achieve the joint task goal. Before guidelines on how robots should act in this process can be formulated, clarification on whether humans use the haptic channel for communicating their intentions is needed. This paper investigates this question in an experimental setup involving two collaborating humans. We consider physical effort as well as performance as indicators of successful intention integration. Our results strongly suggest that intention integration is enhanced via the haptic channel, i.e., that haptic communication takes place, especially in the case of shared decision situations. This provides a motivation for future investigations to model the process of intention integration itself in order to realize successful haptic human-robot collaboration.

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Year:  2013        PMID: 24808271     DOI: 10.1109/TOH.2012.2

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  6 in total

Review 1.  Social Cognition for Human-Robot Symbiosis-Challenges and Building Blocks.

Authors:  Giulio Sandini; Vishwanathan Mohan; Alessandra Sciutti; Pietro Morasso
Journal:  Front Neurorobot       Date:  2018-07-11       Impact factor: 2.650

2.  Cooperative Dynamic Manipulation of Unknown Flexible Objects: Joint Energy Injection Based on Simple Pendulum Fundamental Dynamics.

Authors:  Philine Donner; Franz Christange; Jing Lu; Martin Buss
Journal:  Int J Soc Robot       Date:  2017-06-12       Impact factor: 5.126

3.  Sensing small interaction forces through proprioception.

Authors:  Fazlur Rashid; Devin Burns; Yun Seong Song
Journal:  Sci Rep       Date:  2021-11-08       Impact factor: 4.379

Review 4.  Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots.

Authors:  Andrew Sawers; Lena H Ting
Journal:  J Neuroeng Rehabil       Date:  2014-10-06       Impact factor: 4.262

5.  Force sharing and other collaborative strategies in a dyadic force perception task.

Authors:  Fabio Tatti; Gabriel Baud-Bovy
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

6.  Haptic human-human interaction does not improve individual visuomotor adaptation.

Authors:  Niek Beckers; Edwin H F van Asseldonk; Herman van der Kooij
Journal:  Sci Rep       Date:  2020-11-16       Impact factor: 4.379

  6 in total

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