Sensor Planning

Sensor planning optimizes the deployment and operation of sensors to efficiently gather information, maximizing data quality and minimizing resource consumption. Current research emphasizes developing informative path planning algorithms, often incorporating information-theoretic measures like entropy or novel metrics such as "clarity" to guide sensor placement and movement. This field is crucial for improving the performance of autonomous systems like UAVs and robots in various applications, ranging from environmental monitoring to search and rescue operations, by ensuring efficient and effective data acquisition. The development of computationally efficient algorithms, particularly those leveraging control barrier functions, is a key focus to enable real-time sensor planning in dynamic environments.