Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)

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Smart Home Robotic Companion with AI-Driven Personalized Care for Elderly Assistance

Authors
A. Logeshwar1, *, R. M. Manikandan1, R. Parvesh1, A. Ram Solaiappan1, L. Anju1
1Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Pennalur, Sriperumbudur, 602117, Tamilnadu, India
*Corresponding author.
Corresponding Author
A. Logeshwar
Available Online 30 June 2025.
DOI
10.2991/978-94-6463-754-0_29How to use a DOI?
Keywords
AI-driven voice assistant; LLM; ROS; SLAM; Real-time monitoring; Autonomous navigation; motion detection; Hazard detection; Health monitoring sensor; Chronic illness
Abstract

The proposed solution aims to create a novel robotic companion that is more suitable for old people by addressing a wide range of problems that elderly people face, this in turn combines real-time autonomous assistance with customized help. The main aim of the proposed model is to enhance the speech interaction component, powered by a Large Language Model (LLM), embedded with the integration of the Robot Operating System (ROS), and combining the SLAM algorithm with an external camera. The exemplary feature of the system is its ability to concurrently deepen both the contextual understanding of events using LLM and the real-time spatial environment using ROS and SLAM. This system integrates both interaction and monitoring unlike the traditional robotic systems that focus on one aspect at a time. It also adds a vision motion-detection and emergency alert functions which introduces a proactive safety mechanism, while task reminders and health monitoring via sensors ensure personalized assistance tailored to individual needs. The integration of these capabilities into a cost-effective and scalable design sets this system apart as an innovative solution for elderly care.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
Series
Atlantis Highlights in Engineering
Publication Date
30 June 2025
ISBN
978-94-6463-754-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-754-0_29How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Logeshwar
AU  - R. M. Manikandan
AU  - R. Parvesh
AU  - A. Ram Solaiappan
AU  - L. Anju
PY  - 2025
DA  - 2025/06/30
TI  - Smart Home Robotic Companion with AI-Driven Personalized Care for Elderly Assistance
BT  - Proceedings of the 2025 International Conference on Advanced Research in Electronics and Communication Systems (ICARECS-2025)
PB  - Atlantis Press
SP  - 322
EP  - 332
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-754-0_29
DO  - 10.2991/978-94-6463-754-0_29
ID  - Logeshwar2025
ER  -