Authors: Chavan Avantika Santosh, Professor Bangar Abhishek P., Professor Bhosale Sachin B., Professor Karad Vandana A.

Abstract: People with intellectual disabilities who experience epilepsy may require additional support for daily activities, seizure monitoring and emergency communication. Recent developments in artificial intelligence (AI), machine learning (ML) and assistive robotics offer opportunities to improve safety and caregiver support. This study reviews the supplied re-search papers on automated seizure detection, AI-based epilepsy monitoring and assistive technologies for people with disabilities. Zhu et al. (2024) proposed a hybrid SE-TCN-BiGRU network and reported high seizure-detection accuracy on the CHB-MIT and SH-SDU datasets. Garção et al. (2025) Developed a video-based approach for detecting seizures in real time using Lampsy, a non-intrusive monitoring solution powered by affordable edge devices. Research on assis-tive robotics highlights the potential of robots to support rehabilitation and interaction, while Milne-Ives et al. (2025) emphasised the underrepresentation of People with intellectual impairments participating in artificial intelligence re-search on epilepsy. Based on these findings, this study proposes a smart robotic assistant designed to support daily liv-ing through voice interaction, scheduled alerts, and seizure-event tracking. and caregiver notifications. The proposed system aims to provide personalised assistance through accessible interaction, privacy-conscious monitoring and human supervision. However, existing studies evaluate individual technologies rather than the complete proposed robot. There-fore, its effectiveness, usability and reliability cannot yet be assumed. Further development, user-centred testing and appropriate clinical evaluation are necessary to assess its practical benefits and safety. This study explores potential advancements and existing limitations in integrating intelligent seizure monitoring with socially assistive robotics to support people with intellectual disabilities and epilepsy.

DOI: https://doi.org/10.5281/zenodo.23594148