Perceptive Underwater Robots tackle sonar, 3D mapping and other technologies to improve the operational capabilities of AUVs

Researchers at Carnegie Mellon University’s School of Computer Science in Pittsburgh are examining how to create systems that can perform autonomously underwater and provide a clearer view of the subsurface environment. Such capabilities offer important applications to the U.S. services, the Navy, Coast Guard and Marines Corps, as well as to the commercial shipping industry for ship and harbor inspections, among other activities. While some Carnegie Mellon University (CMU) researchers are looking at the autonomy side or decision-making abilities of underwater robots, Michael Kaess, CMU assistant research professor, Field Robotics Center, Robotics Institute; CMU students; and other researchers are investigating how autonomous robots view and map their surroundings. Kaess, who is also the director of the school’s Robot Perception Lab (RPL) is working to improve robot perception using advanced sensors, complex algorithms and mapping tools. Continue> https://www.afcea.org/content/perceptive-underwater-robots #drone#drones #uuv #rov #DroneExpert #Tech #DroneOperator #robotics #marine #underwater

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