Active Acoustic

Active acoustic sensing employs the emission and reception of sound waves to gather information about an environment or object. Current research focuses on optimizing data acquisition through techniques like reinforcement learning for efficient environmental modeling and track-before-detect algorithms for improved target identification and tracking in challenging conditions, such as underwater environments. These advancements are improving robotic manipulation by enabling the perception of internal object states and properties, and enhancing the capabilities of soft robotics through the development of embedded acoustic sensors. The resulting improvements in sensing accuracy and efficiency have significant implications for various fields, including robotics, environmental monitoring, and underwater exploration.