Authors:
Nkurunziza Kenneth, Aglaia Mantzana, Wirote Ritthong, Omar Muhammed Neda
Addresses:
Department of Automotive and Power Engineering, University Private African Franco-Arabe (UPAFA), Bamako, Mali. Department of STEM, Robotics and Sustainability Education, Hellenic Open University, Patras, Western Greece, Greece. Faculty of Engineering and Technology, Shinawatra University, Bang Toei, Pathum Thani, Thailand. Department of Electrical Power Engineering, Sunni Diwan Endowment, Baghdad, Baghdad Governorate, Iraq.
Abstract:
In general, the system of an autonomous robotic car integrates a range of sensors (ultrasonic, infrared, and LIDAR) to detect obstacles, a microcontroller to process sensor data, and sensors for precise movement control. The primary aim was to develop an efficient, reliable solution for real-time navigation and obstacle avoidance, enhancing the autonomous capabilities of robotic vehicles. The design incorporates advanced control strategies, including real-time data processing algorithms and predictive control models, to ensure smooth and responsive navigation. The system was rigorously tested using both qualitative and quantitative techniques. Data were collected and analyzed through a series of controlled experiments, and the performance was evaluated using statistical methods and thematic analysis. The developed system demonstrated high efficiency and reliability, achieving a 100% success rate in obstacle detection and avoidance during testing. The results showed a significant improvement over existing systems, which typically achieve around efficiency. This efficiency was validated through simulation software and real-world testing. Overall, the paper advances autonomous robotic technology by providing a robust framework for obstacle detection and avoidance. The implementation of this system enhances the safety and operational efficiency of autonomous robotic cars, making them more viable for practical applications in various environments.
Keywords: Light Detection and Ranging; Brake Controller; Electronic Control Unit; Electrical Control Switch; Wire Connector; Automated Guided Vehicles; Autonomous Vehicles; Integrated Circuits.
Received on: 18/04/2025, Revised on: 09/07/2025, Accepted on: 16/09/2025, Published on: 07/06/2026
DOI: 10.64091/ATIEL.2026.000323
AVE Trends in Intelligent Energy Letters, 2026 Vol. 2 No. 1 , Pages: 24-36