MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics
The paper presents MEMOR-E, a mobile quadruped robot designed to assist Alzheimer's patients and their caregivers. It utilizes fine-tuned large language models to provide personalized interactions, including medication reminders and companionship. The study demonstrates the robot's ability to generate cognitive summaries that are understandable and support caregiver oversight.
- ▪MEMOR-E is a mobile quadruped robot that aids Alzheimer's patients through various supportive interactions.
- ▪The robot employs fine-tuned large language models to emulate cognitive behavior consistent with the patient's stage of Alzheimer's.
- ▪The study involved audio transcriptions from 235 Alzheimer's patients to evaluate the robot's effectiveness in providing personalized assistance.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.23941 |
| Publication time | Tue, 26 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-26T04:07:43.013Z |
| Last seen | 2026-05-26T04:07:43.013Z |
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Computer Science > Artificial Intelligence arXiv:2605.23941 (cs) [Submitted on 28 Apr 2026] Title:MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics Authors:Maissa Abir Smaili, Eren Sadikoglu, Ransalu Senanayake View a PDF of the paper titled MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics, by Maissa Abir Smaili and 2 other authors View PDF HTML (experimental) Abstract:Alzheimer's disease is a neurodegenerative disorder marked by progressive declines in memory and language that reduce independence in daily life, motivating socially assistive robotic support.
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