U.S. Army's CoVeR program releases funds to expand MANTA systemNews
April 24, 2019
CAMBRIDGE, Mass. Through the U.S. Army's Combat Vehicle Robotics (CoVeR) program, Charles River Analytics Inc. received funding to enhance its Modular Appliqu? Enabling Natural Teaming with Autonomy (MANTA) system.
MANTA is a platform-independent, natural control and autonomy robot appliqué that enables a user to easily direct one or more host platforms to perform a range of autonomous behaviors. The system is consistent with the CoVeR program's objective to develop technologies that support scalable integration of multi-domain robotic and autonomous systems.
“With MANTA, our human-machine interface enables Commanders to issue instructions to one or more unmanned robotic systems using the same natural communication method that they use with human personnel,” says Camille Monnier, Principal Scientist at Charles River Analytics and Principal Investigator on the MANTA effort. “Our contributions in manned-unmanned teaming, or MUM-T, enable leap-ahead capabilities in mission-level autonomy.”
Robotic systems equipped with the hardware/software appliqué can execute any behavior supported by platform capabilities, as well as share and access information with other vehicles equipped with the appliqué. Equipped platforms can be controlled using silent gesture-based commands, such as follow-me, stop, and relocate to a different position, or more complex speech-based commands, such as “monitor the back of the red building for activity,” “give me a close-up view of that white van,” and “emplace a remote sensing device in Zone 2.”
“MANTA is one of our autonomy components built on mission-focused artificial intelligence that can integrate with current and evolving platforms," says Rich Wronski, Vice President of Charles River’s Sensing, Perception and Applied Robotics Division. "By integrating our reliable, adaptable robotic subsystems with their existing platforms, our customers can achieve sought-after mission-level autonomy for single, tele-operated platforms as well as multi-platform, collaborative robotic teams that self-organize around high-level objectives and commands.”