An Internet of Things based mobile-controlled robot with emergency parking system

This paper presents an Internet of Things (IoT) based mobile-controlled car with an emergency parking system that integrates advanced functionalities to enhance safety and user convenience, utilizing the ESP32 microcontroller as its core. The system allows users to control the car remotely via a mobile application, leveraging Wi-Fi connectivity for seamless communication. Key features include LED indicators for various operations such as reversing, left and right turns, and brake activation, ensuring clear signaling in real-time. The innovative emergency parking system detects obstacles or emergencies using sensors and halts the vehicle automatically, reducing the risk of accidents. The car's lightweight, energy-efficient design, combined with the versatility of the ESP32, ensures a responsive and reliable operation. Additionally, the system provides an intuitive user interface through the mobile app, enabling precise control and real-time feedback. The proposed system is faster in response compared to the existing systems. Moreover, the proposed system consumes less energy, and hence, it uses the battery more efficiently, extending the time of operation. Lower power consumption ensures longer operation time, reducing the need for frequent charging and making the system more practical. This paper demonstrates the integration of IoT and embedded systems to create a smart vehicle solution suitable for various applications, including robotics, automation, and personal transport. Its cost-effectiveness and scalability make it a viable choice for both hobbyists and developers.

Authors

Publication Details

Journal
IAES International Journal of Robotics and Automation (IJRA)
Published
2025-09-01
DOI
https://doi.org/10.11591/ijra.v14i3.pp370-380
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

An Internet of Things based mobile-controlled robot with emergency parking system

Varuna Kumara, Maurice Shamma, Karthik S. Shetty, Abdul Kareem et al.
1 links
IAES International Journal of Robotics and Automation (IJRA)
IoT-based Smart Home Systems
article

An Internet of Things based mobile-controlled robot with emergency parking system

Varuna Kumara, Maurice Shamma, Karthik S. Shetty, Abdul Kareem, Vishwanath Madhava Shervegar, Manvith Devadig, Kiran Maheshappa
article en

Abstract

This paper presents an Internet of Things (IoT) based mobile-controlled car with an emergency parking system that integrates advanced functionalities to enhance safety and user convenience, utilizing the ESP32 microcontroller as its core. The system allows users to control the car remotely via a mobile application, leveraging Wi-Fi connectivity for seamless communication. Key features include LED indicators for various operations such as reversing, left and right turns, and brake activation, ensuring clear signaling in real-time. The innovative emergency parking system detects obstacles or emergencies using sensors and halts the vehicle automatically, reducing the risk of accidents. The car's lightweight, energy-efficient design, combined with the versatility of the ESP32, ensures a responsive and reliable operation. Additionally, the system provides an intuitive user interface through the mobile app, enabling precise control and real-time feedback. The proposed system is faster in response compared to the existing systems. Moreover, the proposed system consumes less energy, and hence, it uses the battery more efficiently, extending the time of operation. Lower power consumption ensures longer operation time, reducing the need for frequent charging and making the system more practical. This paper demonstrates the integration of IoT and embedded systems to create a smart vehicle solution suitable for various applications, including robotics, automation, and personal transport. Its cost-effectiveness and scalability make it a viable choice for both hobbyists and developers.

IAES International Journal of Robotics and Automation (IJRA)Vol. 14(3)
Openalex Percentile: Top 78%
IoT-based Smart Home Systems
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