Contextual Autonomy

Contextual autonomy focuses on assessing and enhancing the independent decision-making capabilities of robots, particularly in complex or unpredictable environments. Current research emphasizes developing frameworks to evaluate autonomy levels by considering both the robot's inherent capabilities and the specific context of its task, often employing fuzzy logic systems or weighted aggregation methods to combine diverse performance metrics. This research is crucial for improving the reliability and adaptability of autonomous systems across various applications, such as robotic exploration and unmanned aerial vehicle operations, by providing quantitative measures of performance and identifying areas for improvement.