A platform-independent, natural control and autonomy robot appliqué
Modular Appliqué Enabling Natural Teaming with Autonomy (MANTA)
We are enhancing our Modular Appliqué Enabling Natural Teaming with Autonomy (MANTA) system for the US Army’s Combat Vehicle Robotics (CoVeR) program. 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.
“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. Our contributions in manned-unmanned teaming, or MUM-T, enable leap-ahead capabilities in mission-level autonomy.”
Principal Scientist at Charles River Analytics
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.”
Rich Wronski, Vice President of Charles River’s Sensing, Perception and Applied Robotics Division, commented, “MANTA is one of our autonomy components built on mission-focused artificial intelligence that can integrate with current and evolving platforms. 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.”
At Charles River, our deep understanding of applied robotics and autonomy is the result of extensive research, development, and deployment of solutions incorporating disciplines such as artificial intelligence (AI), machine learning, cognitive science, and human factors. This experience uniquely positions us to provide mature and tailored solutions for our customers’ needs.
This effort was sponsored by the U.S. Government under Other Transaction number W15QKN-17-9-1025 with the National Advanced Mobility Consortium. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation herein. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.
DISTRIBUTION STATEMENT A. Approved for public release; distribution unlimited.