ADVANCEMENTS IN SENSOR TECHNOLOGIES FOR NAVIGATION AND OBSTACLE AVOIDANCE IN INDUSTRIAL CLEANING ROBOTS

Abstract

The integration of advanced sensor technologies in industrial cleaning robots has significantly enhanced their navigation and obstacle avoidance capabilities, marking a pivotal advancement in autonomous cleaning solutions for industrial environments. This paper delves into the latest developments in sensor technologies, including LiDAR, ultrasonic, infrared, and machine vision systems, and their application in industrial cleaning robots. Through a comparative analysis, we assess the efficiency, accuracy, and reliability of these sensor technologies in various industrial settings, highlighting their role in improving the robots' autonomous navigation and obstacle detection capabilities. The study also explores the challenges and limitations associated with the implementation of these sensors, such as environmental interference and sensor fusion complexities. By evaluating real-world applications and case studies, this paper provides insights into the future direction of sensor technology in industrial cleaning robots, emphasizing the potential for increased operational efficiency, safety, and adaptability in complex and dynamic industrial environments.