The Office of Naval Research (ONR) is planning to display their complete range of autonomous robot systems, unmanned underwater vehicles and other related technologies at the AUVSI’s Unmanned Systems North America scheduled to be held on the 16th of August at Washington D.C. The director of innovation at ONR,
UAVs at AUVSI Unmanned Systems North America" />Naval UAVs
Dr. Larry Schuette, regarded participating in AUVSI as a good platform for sharing their vision for UAVs of the future. The robotics applications for industry, military and academia front at the conference are ead by the Association for Unmanned Vehicle Systems. There would be participation from 6,500 research and development teams at the conference with discussion topics revolving around current, future military requirements and efforts presently undertaken in unmanned system developments.
The Department of Navy is treated as a central point for exploring industrial and academic prospects of autonomous technologies. Schuette regarded participation in such conferences as an opportunity to explore the advancements in the field by other teams. By gaining this knowledge they will be in a better position to choose solutions that are cost effective for the government. The Marine Corps Warfighting Lab is planning to display two of their technologies, the Ground Unmanned Support Surrogate and the Modular Advanced Armed Robotic System, at the ONR booth. The former is a sensor based, remote controlled cyber mule which is used for haul gear out of danger. The latter is a remotely controlled, agile droid, equipped with two-way communication and numerous cameras.
Apart from participating in the AUVSI, ONR is planning to be part of the RoboTour. The RoboTour is an educational program that provides an exposure for future engineers and scientists to unmanned systems. The tour is scheduled between 9 a.m. and 3 p.m. on the 18th of August. Some of the technologies to be exhibited by ONR at AUVSI are AcceleGlove-A, a lightweight glove comprising of sensors for controlling computer devices; Cognitive Humanoid Autonomous Robot with learning intelligence lightweight; Dynamic Anthropomorphic Robot with intelligence and Shipboard Autonomous Fire Fighting Robot.