Cognitive Navigation Robot Integrating Line Detection And Dynamic Obstacle Handling
Author :
Kushal B D, Kirankumar B, Hani Firdous, Priyanka H S, Dr. M J AnandJourna Name:
International Journal of Scientific Research & Engineering Trends Volume:
12 issue:2 Year:Volume-12-issue-2 Views : 15
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.
APA:Kushal B D, Kirankumar B, Hani Firdous, Priyanka H S, Dr. M J Anand. (Volume-12, Issue-2 -(Year-Volume-12-issue-2)). Cognitive Navigation Robot Integrating Line Detection And Dynamic Obstacle Handling. Retrieved from https://ijsret.com/wp-content/uploads/IJSRET_V12_issue2_245.pdf
Chicago:Kushal B D, Kirankumar B, Hani Firdous, Priyanka H S, Dr. M J Anand. "Cognitive Navigation Robot Integrating Line Detection And Dynamic Obstacle Handling" Example, Volume-12-issue-2-Year-Volume-12-issue-2-2395-566X. https://ijsret.com/wp-content/uploads/IJSRET_V12_issue2_245.pdf.