Imperial College London
Portrait Picture

Professor Aldo Faisal

Faculty of Engineering, Department of Bioengineering

Professor of AI & Neuroscience
 
 
 
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Contact

 

+44 (0)20 7594 6373a.faisal Website

 
 
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Assistant

 

Miss Teresa Ng +44 (0)20 7594 8300

 
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Location

 

4.08Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Shafti:2021:10.1109/NER49283.2021.9441453,
author = {Shafti, SA and Faisal, A},
doi = {10.1109/NER49283.2021.9441453},
publisher = {IEEE},
title = {Non-invasive cognitive-level human interfacing for the roboticrestoration of reaching & grasping},
url = {http://dx.doi.org/10.1109/NER49283.2021.9441453},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Assistive   and   Wearable   Robotics   have   the   potential  to  support  humans  with  different  types  of  motor  impairments  to  become  independent  and  fulfil  their  activities  of daily  living  successfully.  The  success  of  these  robot  systems, however,  relies  on  the  ability  to  meaningfully  decode  human action  intentions  and  carry  them  out  appropriately.  Neural interfaces  have  been  explored  for  use  in  such  system  with several successes, however, they tend to be invasive and require training  periods  in  the  order  of  months.  We  present  a  robotic system for human augmentation, capable of actuating the user’s arm  and  fingers  for  them,  effectively  restoring  the  capability of   reaching,   grasping   and   manipulating   objects;   controlled solely through the user’s eye movements. We combine wearable eye  tracking,  the  visual  context  of  the  environment  and  the structural  grammar  of  human  actions  to  create  a  cognitive-level  assistive  robotic  setup  that  enables  the  users  in  fulfilling activities  of  daily  living,  while  conserving  interpretability,  and the  agency  of  the  user.  The  interface  is  worn,  calibrated  and ready to use within 5 minutes. Users learn to control and make successful  use  of  the  system  with  an  additional  5  minutes  of interaction.  The  system  is  tested  with  5  healthy  participants, showing an average success rate of96.6%on first attempt across6  tasks.
AU  - Shafti,SA
AU  - Faisal,A
DO  - 10.1109/NER49283.2021.9441453
PB  - IEEE
PY  - 2021///
TI  - Non-invasive cognitive-level human interfacing for the roboticrestoration of reaching & grasping
UR  - http://dx.doi.org/10.1109/NER49283.2021.9441453
UR  - https://ieeexplore.ieee.org/document/9441453
UR  - http://hdl.handle.net/10044/1/87610
ER  -
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