EVALUATION OF A MICROCONTROLLER-BASED AUTONOMOUS ROBOT FOR NAVIGATING AND DELIVERING PURPOSE

Autonomous robots are increasingly employed for jobs where precision, efficiency, and human intervention are to the least. The purpose of this study is to assess the performance of a microcontroller-based autonomous robot for applications of indoor navigation and delivery. The arrangement features ultrasonic sensors, infrared (IR) guidance modules, DC motors, and a microcontroller executing a path-planning algorithm. Experimental tests examined the navigation precision, obstacle-avoidance ability, task completion time, and delivery success rates across various operational conditions. Average navigation accuracy was recorded at 92.6%, with an obstacle detection reliability of 95.4% and a delivery success rate of 90%. Lapses in navigation, however, did occur in any condition with low light or rapid change of obstacles. The results also indicate that microcontroller-based robots are cost- and performance-effective for small-scale automated delivery tasks, still sensor fusion and adaptive algorithms might improve the general system performance.