ArticleFrontiers in neurorobotics2021
Trends in Haptic Communication of Human-Human Dyads: Toward Natural Human-Robot Co-manipulation.
Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- Understanding human co-manipulation via motion and haptic information to enable future physical human-robotic collaborations.Frontiers in neurorobotics · 2025Article
- Low-force human-human hand interactions induce gait changes through sensorimotor engagement instead of direct mechanical effects.Scientific reports · 2024Article
- Human-robot planar co-manipulation of extended objects: data-driven models and control from human-human dyads.Frontiers in neurorobotics · 2024Article
- Human-Human Hand Interactions Aid Balance During Walking by Haptic Communication.Frontiers in robotics and AI · 2021Article
- Motor Learning in Robot-Based Haptic Dyads: A Review.IEEE transactions on hapticsReview
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we analyze and report on observable trends in human-human dyads performing collaborative manipulation (co-manipulation) tasks with an extended object (object with significant length). We present a detailed analysis relating trends in interaction forces and torques with other metrics and propose that these trends could provide a way of improving communication and efficiency for human-robot dyads. We find that the motion of the co-manipulated object has a measurable oscillatory component. We confirm that haptic feedback alone represents a sufficient communication channel for co-manipulation tasks, however we find that the loss of visual and auditory channels has a significant effect on interaction torque and velocity. The main objective of this paper is to lay the essential groundwork in defining principles of co-manipulation between human dyads. We propose that these principles could enable effective and intuitive human-robot collaborative manipulation in future co-manipulation research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.