Using A Single Ultrasonic Sensor, AMean-Based Approach To Omnidirectional Route Finding Algorithms

Abstract

In order to navigate and recognize obstacles successfully in dynamic situations, autonomous robotic systems need to be highly developed. Limited detection range and erroneous route selection are common problems with traditional navigation techniques that use fixed ultrasonic sensors. In order to maximize the efficiency of robotic movement, this project suggests a system for omnidirectional navigation that utilizes an L293D motor driver, servo motors, and ultrasonic sensors. The ultrasonic sensor can scan a full 360 degrees thanks to its servo motor mount, which greatly enhances its accuracy when detecting obstacles. Using data collected in real-time from sensors, the L293D motor driver guides the robotic vehicle's movements for effortless navigation. The system optimizes pathfinding and minimizes false positives in obstacle recognition using a mean-based approach. This method is well-suited for use in autonomous vehicles, search-and-rescue missions, and industrial automation since it greatly enhances robotic efficiency.