Navigation System

Navigation systems aim to enable autonomous agents, from robots to self-driving cars, to move safely and efficiently through their environments. Current research emphasizes improving robustness and reliability through techniques like sensor fusion (e.g., GPS-IMU integration, multi-modal sensor data), advanced control algorithms (e.g., Model Predictive Path Integral, Kalman filters), and machine learning models (e.g., neural networks for ETA prediction, object recognition for visually impaired navigation). These advancements are crucial for expanding the capabilities of autonomous systems in diverse applications, including healthcare, transportation, and assistive technologies for people with disabilities.