Smart Terrain-Aware Navigation: An Embedded Robotic System for Obstacle Avoidance and Surface Detection

Kadari Bhuvaneshwari
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Kadari Bhuvaneshwari: B. Tech, (ECE), Stanely College of Engineering and Technology, Hyderabad

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 6, 338-347

Abstract: This paper presents the creation of an economical, self-sufficient mobile robot intended for real-time obstacle avoidance and detection of uneven surfaces, ensuring safe and efficient navigation in unstructured settings. Constructed on the Arduino Uno platform, the system incorporates an HC-SR04 ultrasonic sensor for proximity-based obstacle detection and an MPU6050 accelerometer/gyroscope module to identify surface inclinations and irregular terrains. Additionally, the robot features an L298N motor driver that facilitates precise movement control, while a 16×2 LCD module offers ongoing feedback regarding system status and environmental conditions. The approach includes sensor fusion, modular hardware integration, and embedded software design, enabling robust decision-making and real-time adaptability. Experimental assessments reveal the system’s capability to navigate various terrains and avoid obstacles with minimal latency and high precision. The design's modularity, cost-effectiveness, and ease of deployment render it suitable for numerous applications, such as industrial automation, educational robotics, exploration, and disaster response. The findings highlight the potential of integrating obstacle avoidance with surface detection within a cohesive framework to improve autonomous robotic mobility in intricate real-world situations.

Date: 2025
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