Human Behavioral Metrics of a Predictive Model Emerging During Robot Assisted Following Without Visual Feedback
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AR13D
- Type
- D - Journal article
- DOI
-
10.1109/LRA.2018.2821273
- Title of journal
- IEEE Robotics and Automation Letters
- Article number
- -
- First page
- 2624
- Volume
- 3
- Issue
- 3
- ISSN
- 2377-3774
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
S - Spatial Computing and Robotics (SC&R)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper focuses on perturbation based haptic feedback due to applications like guide dogs for visually impaired people and potential robotic counterparts providing haptic feedback via reins to assist indoor firefighting in thick smoke. These results show that the model-based prediction accounts for the internal coupling between proprioception and muscle activity during perturbation responses. Furthermore, the results provide a firm foundation and measurement metrics to design and evaluate robot-assisted haptic guiding of humans in low visibility environments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
