Rover Localization

Rover localization focuses on enabling autonomous robots to accurately determine their position on planetary surfaces, crucial for safe and efficient exploration. Current research emphasizes robust methods for handling uncertainty in terrain assessment and improving global localization accuracy, often employing machine learning models (e.g., deep probabilistic approaches) and landmark-based techniques (e.g., crater matching). These advancements are vital for enabling longer-range autonomous exploration missions, such as those planned for the Moon and Mars, and improving the reliability of sample collection and scientific data acquisition.