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April 5, 20260 citationsOpen Access

Cognitive Navigation Robot Integrating Line Detection And Dynamic Obstacle Handling

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KDKushal B DKBKirankumar BHFHani Firdous

Key Points

  • The aim is to develop an autonomous robot capable of following lines and avoiding obstacles using integrated sensors.
  • Utilized ESP32 microcontroller for processing real-time sensor data
  • Employed infrared sensors for line detection and tracking
  • Implemented ultrasonic sensors for measuring distance and identifying obstacles
  • Designed a GSM module for sending alerts during critical situations
  • Focused on low-cost and scalable solutions for practical applications
  • The prototype consistently followed predefined paths and avoided obstacles effectively
  • Demonstrated smooth navigation thanks to real-time sensor data processing
  • Showed adaptability for various real-world applications in logistics and warehouses
  • Emphasized multi-sensor integration improving system robustness and usability

Abstract

This project presents the development of an autonomous line-following and obstacle-avoidance robot using the ESP32 microcontroller. Infrared sensors detect and follow the predefined path, while an ultrasonic sensor measures distance and identifies obstacles to prevent collisions. The ESP32 processes real-time sensor data to control the motor driver, ensuring smooth and stable navigation. A GSM module is integrated to send alerts during critical situations. The system is designed to be low-cost, scalable, and suitable for educational and automation applications. The prototype demonstrates consistent path tracking and efficient obstacle avoidance, making it adaptable for real-world industrial logistics and warehouse environments. The overall design highlights the importance of combining multi-sensor integration with wireless communication to enhance the robustness and usability of autonomous robotic systems.

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Cite This Study

D et al. (2026) studied this question.

synapsesocial.com/papers/69d1fcc0a79560c99a0a268ehttps://doi.org/10.5281/zenodo.19398263
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