Autonomous Robot for Elderly Safety and Assistance

  • Unique Paper ID: 183862
  • PageNo: 3445-3449
  • Abstract:
  • In the context of home automation, the challenge is to design a robot that can autonomously navigate within a home environment to reach an elder person located in different rooms, such as the hall, kitchen, or bedroom. The robot must be capable of avoiding obstacles, considering the lighting conditions within the home, and responding to gestures made by the elder person. The problem involves determining why the robot should choose specific paths based on these parameters, ensuring that it moves efficiently and safely while adapting to the dynamic environment of a home. This challenge is crucial in enhancing the quality of life for elderly individuals by providing them with assistance and ensuring their safety. To solve the above problem, the robot can use a combination of smart technologies. First, it can use path planning algorithms like A* or Dijkstra's algorithm to find the safest and quickest way to reach the elder person. These algorithms help the robot figure out the best path while avoiding obstacles like furniture or other objects in the home. The robot can also use sensors to detect how bright or dim the lighting is in each room, adjusting its movements so it can see and navigate better, even in low light. Additionally, the robot can be equipped with cameras or motion sensors to recognize gestures made by the elder person, such as waving a hand or pointing. These solutions are combined and integrated using the PYNQ-Z2 board, which is ideal due to its reconfigurable nature, allowing for the flexible implementation of complex algorithms and real-time processing. This integration ensures that the robot can intelligently navigate the home environment, making it a valuable component of a home automation system that supports elderly care.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article 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.

BibTeX

@article{183862,
        author = {Thulimilli Prem Bosco and Dr.M.Satyanarayana and Kalakurasa Rakesh},
        title = {Autonomous Robot for Elderly Safety and Assistance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3445-3449},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183862},
        abstract = {In the context of home automation, the challenge is to design a robot that can autonomously navigate within a home environment to reach an elder person located in different rooms, such as the hall, kitchen, or bedroom. The robot must be capable of avoiding obstacles, considering the lighting conditions within the home, and responding to gestures made by the elder person. The problem involves determining why the robot should choose specific paths based on these parameters, ensuring that it moves efficiently and safely while adapting to the dynamic environment of a home. This challenge is crucial in enhancing the quality of life for elderly individuals by providing them with assistance and ensuring their safety.
To solve the above problem, the robot can use a combination of smart technologies. First, it can use path planning algorithms like A* or Dijkstra's algorithm to find the safest and quickest way to reach the elder person. These algorithms help the robot figure out the best path while avoiding obstacles like furniture or other objects in the home. The robot can also use sensors to detect how bright or dim the lighting is in each room, adjusting its movements so it can see and navigate better, even in low light. Additionally, the robot can be equipped with cameras or motion sensors to recognize gestures made by the elder person, such as waving a hand or pointing. These solutions are combined and integrated using the PYNQ-Z2 board, which is ideal due to its reconfigurable nature, allowing for the flexible implementation of complex algorithms and real-time processing. This integration ensures that the robot can intelligently navigate the home environment, making it a valuable component of a home automation system that supports elderly care.},
        keywords = {},
        month = {August},
        }

Cite This Article

Bosco, T. P., & Dr.M.Satyanarayana, , & Rakesh, K. (2025). Autonomous Robot for Elderly Safety and Assistance. International Journal of Innovative Research in Technology (IJIRT), 12(3), 3445–3449.

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