AI-Powered Companion Robot for Elderly Care

Abstract

With the global aging population on the rise, thereisagrowingneedforintelligentsystemsthatassisttheel- derly in leading independent and healthier lives. This project presents an AI-Powered Companion Robot for Elderly Care, a multi-functionalroboticsolutionintegratingartificialintelligence, health monitoring, emotional support, and mobility assistance. The system is controlled through a user-friendly web interface and voice commands, built using a Raspberry Pi and a 4-wheel robotic platform. Therobotoffersawiderangeofmodulesincludingcompanion- ship through a sentiment-aware chatbot with music and games, real-time health monitoring using sensors like MLX90614 and MAX30102,guidedexercises,dailyreminders,andanemergency alertsystemthatsendsSMSandemailnotificationstocaregivers. One of the key achievements is the seamless integration of voice- enabledcontrolandAI-basedinteraction,enhancingaccessibility and usability. ThisprojectwasdevelopedatKonkanGyanpeethCollege of Engineering (KGCE), Karjat, and highlights how technology can bridge the gap in elderly care—ensuring safety, health, and emotional well-being.

Introduction

With the global elderly population rising, there is an increasing need for comprehensive elderly care solutions that ensure safety, comfort, and emotional well-being, especially for those living alone. Traditional eldercare systems mainly offer basic monitoring or human-dependent care, which are often limited.

Advances in AI, IoT, and robotics enable the creation of autonomous, intelligent systems that provide both physical assistance (health monitoring, fall detection, emergency alerts) and emotional support (chatbots, music therapy, games). Existing solutions often lack integration of these features into one affordable, user-friendly platform.

This project from Konkan Gyanpeeth College of Engineering develops an AI-powered robotic companion tailored for elderly care. It combines health sensors (heart rate, SpO2, temperature), fall detection, emergency alert systems, and emotional companionship via an AI chatbot. The system includes medication and appointment reminders and can be remotely controlled via a web interface.

Designed with a user-centered approach, the robot features a simplified interface suitable for elderly users, with voice interaction and adaptive feedback. The hardware architecture is based on a Raspberry Pi connected to sensors and motor drivers, while the software incorporates AI techniques like sentiment analysis for empathetic chatbot responses.

The project adheres to standardized units, technical specifications, and rigorous testing to ensure safety and reliability. It integrates multiple technologies into a cohesive, scalable solution to holistically address elderly care needs, balancing physical health monitoring and emotional support.

Conclusion

ThisprojectpresentsanAI-poweredcompanionrobottai- loredforelderlycare,combininghealthmonitoring,emo- tional interaction, fall detection, and remote management intoasingle,affordableplatform.Theintegrationofvoice commands, sentiment-aware AI chatbot, and emergency alertsystemsensuresbothphysicalandemotionalsupport for elderly users. Future enhancements include advanced emotion recognition using deep learning, multi-language support for regional accessibility, and integration with medical databases for predictive health analytics.

References

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Copyright

Copyright © 2025 Sanjay Patil , Sakshi Patil , Aditi Dalal, Amrapali Bagate, Akshata Chalke. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.