The Value of the Follow-Through Derives from Motor Learning Depending on Future Actions
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 886
- Type
- D - Journal article
- DOI
-
10.1016/j.cub.2014.12.037
- Title of journal
- Current Biology
- Article number
- -
- First page
- 397
- Volume
- 25
- Issue
- 3
- ISSN
- 0960-9822
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 4 - Psychology, Psychiatry and Neuroscience
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This was the first work to show that past and future movements effect current movement. This is important because it shows how humans plan and control movements enabling the design of soft robotic systems based on human control principles that can operate safely in the proximity of people. This is being applied in our impact case with Dr. Martin Stoelen's spinout company Fieldwork Robotics funded by Innovate UK. Here it is contributing to the design of robotic arms and controllers which can safely pick fruit and vegetables without endangering nearby workers or damaging themselves in the event of collisions.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -