Advanced Sensor Technologies in Autonomous Robots: Improving Real-time Decision Making and Environmental Interaction

The integration of advanced sensor technologies has revolutionized the capabilities of autonomous robots, enabling them to make real-time decisions and interact dynamically with their environment. Key sensor technologies such as LiDAR, cameras, ultrasonic sensors, IMUs, and force sensors provide critical data that helps robots navigate, avoid obstacles, and perform tasks autonomously. Through three case studies—LiDAR for autonomous navigation, vision and ultrasonic sensors for path planning, and force-torque sensors for robotic manipulation—we investigate how sensor fusion improves the accuracy and efficiency of robots in real-world applications. Additionally, we provide sample datasets, code snippets, and integration strategies for each case study, illustrating the practical applications of these sensor systems. This paper investigates how these technologies improve decision-making algorithms, discusses the challenges associated with their integration, and presents practical case studies that demonstrate real-time applications. Additionally, the paper explores methods of sensor fusion and provides sample code for real-time decision-making scenarios.