Imperial College London

ProfessorEtienneBurdet

Faculty of EngineeringDepartment of Bioengineering

Professor of Human Robotics
 
 
 
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Contact

 

e.burdet Website

 
 
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Location

 

419BSir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Takagi:2017:10.1038/s41562-017-0054,
author = {Takagi, A and Ganesh, G and Yoshioka, T and Kawato, M and Burdet, E},
doi = {10.1038/s41562-017-0054},
journal = {Nature Human Behaviour},
title = {Physically interacting individuals estimate the partner's goal to enhance their movements},
url = {http://dx.doi.org/10.1038/s41562-017-0054},
volume = {1},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - From a parent helping to guide their child during their first steps, to a therapist supporting a patient, physical assistance enabled by haptic interaction is a fundamental modus for improving motor abilities. However, what movement information is exchanged between partners during haptic interaction, and how this information is used to coordinate and assist others, remains unclear1. Here, we propose a model in which haptic information, provided by touch and proprioception2, enables interacting individuals to estimate the partner’s movement goal and use it to improve their own motor performance. We use an empirical physical interaction task3 to show that our model can explain human behaviours better than existing models of interaction in literature4,5,6,7,8. Furthermore, we experimentally verify our model by embodying it in a robot partner and checking that it induces the same improvements in motor performance and learning in a human individual as interacting with a human partner. These results promise collaborative robots that provide human-like assistance, and suggest that movement goal exchange is the key to physical assistance.
AU - Takagi,A
AU - Ganesh,G
AU - Yoshioka,T
AU - Kawato,M
AU - Burdet,E
DO - 10.1038/s41562-017-0054
PY - 2017///
SN - 2397-3374
TI - Physically interacting individuals estimate the partner's goal to enhance their movements
T2 - Nature Human Behaviour
UR - http://dx.doi.org/10.1038/s41562-017-0054
UR - http://hdl.handle.net/10044/1/57314
VL - 1
ER -