Adaptive Feeding Robot With Multisensor Feedback and Predictive Control Using Autoregressive Integrated Moving Average–Feed-Forward Neural Network: Simulation Study
Combining predictive algorithms and adaptive learning mechanisms enables the feeding robot to demonstrate substantial improvements in precision, responsiveness, and personalization. These advancements underline its potential to revolutionize assistive technology in rehabilitation, delivering safe and highly personalized feeding assistance to individuals with motor impairments, thereby enhancing their independence.
Authors
- Vahaj Mohaghegh (ORCID: https://orcid.org/0009-0004-7418-0574)
- Shabnam Sadeghi Esfahlani (ORCID: https://orcid.org/0000-0002-1443-0330)
- Hassan Shirvani (ORCID: https://orcid.org/0009-0001-7045-5735)
- Alireza Sanaei (ORCID: https://orcid.org/0000-0003-2718-9678)
- Zainib Bilal (ORCID: https://orcid.org/0009-0007-1687-0608)
- Nathon Arthur (ORCID: https://orcid.org/0009-0006-5494-1668)
Institutions
- Anglia Ruskin University (GB)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-12-02
- DOI
- https://doi.org/10.2196/69877
- Primary Topic
- Cerebral Palsy and Movement Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00