Autonomous Navigation System

Autonomous navigation systems aim to enable vehicles and robots to navigate environments without human intervention, primarily focusing on robust perception, accurate localization, and safe path planning. Current research emphasizes the integration of diverse sensor modalities (e.g., LiDAR, cameras, IMUs) and advanced algorithms, including deep reinforcement learning, model predictive control, and transformer-based architectures, to improve performance in challenging conditions and complex environments. This field is crucial for advancing robotics, autonomous vehicles, and other applications requiring reliable and efficient navigation, impacting safety, efficiency, and accessibility across various sectors.