Neural Interfaces for Robotics and Prosthetics: Current Trends
The integration of neural interfaces with assistive robotics has transformed the field of prosthetics, rehabilitation, and brain–computer interfaces (BCIs). From brain-controlled wheelchairs to Artificial Intelligence (AI)-synchronized robotic arms, the innovations offer autonomy and improved quality of life for people with mobility disorders. This article discusses recent trends in brain–computer interfaces and their application in robotic assistive devices, such as wheelchair-mounted arms, drone control systems, and robotic limbs for activities of daily living (ADLs). It also discusses the incorporation of AI systems, including ChatGPT-4, into BCIs, with an emphasis on new innovations in shared autonomy, cognitive assistance, and ethical considerations.
Authors
- Sudeep Sarkar (ORCID: https://orcid.org/0000-0001-7332-4207)
- Redwan Alqasemi (ORCID: https://orcid.org/0000-0003-4581-932X)
Institutions
- Purdue University West Lafayette (US)
- University of South Florida (US)
- Robotics Research (United States) (US)
Publication Details
- Journal
- Journal of Sensor and Actuator Networks
- Published
- 2025-10-27
- DOI
- https://doi.org/10.3390/jsan14060105
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00