International Journal of Robotics and Autonomous Systems ISSN: 3107-7382 (Online)

Author: Gopal Reddy

AbstractAutonomous navigation in unstructured environments poses significant challenges for robotic systems. This paper provides an overview of various machine learning approaches employed to enhance autonomous navigation in unstructured environments. The focus is on methods that enable robots to adapt to dynamic and unpredictable surroundings. The paper discusses key algorithms, their advantages, and limitations, providing insights into the current state of the field.

Keywords- Autonomous Navigation, Machine Learning, Unstructured Environments, Deep Neural Networks, Reinforcement Learning, Simultaneous Localization and Mapping (SLAM), Evolutionary Algorithms, Sensor Fusion.