American Rheinmetall Vehicles will manufacture and deliver eight proto¬types to the Army in 2025 for testing, evaluation, and to compete against the platform delivered by the second awardee before the Army downselects to a single platform and the program transitions to full scale production.
Rheinmetall has substantial expertise in developing unmanned ground vehicles, exemplified in its Mission Master family of vehicles, which encompass a range of modular, autonomous platforms designed for diverse missions such as reconnaissance, surveillance, cUAS, and logistical support. American Rheinmetall Vehicles’ S-MET solution leverages the ground-breaking advancements in unmanned technology found in the Mission Master vehicles to deliver a UGV tailored to meet the unique requirements of the Army’s S-MET program. The platform also uses many mature commercial components already found in the Army’s inventory or the commercial ATV space which drives affordability and reliability, and addresses electromagnetic concerns through its unique composite structure and use of materials.
“American Rheinmetall Vehicles is honored with the Army’s selection and excited to deliver our S-MET platform which is particularly attractive due to its technological excellence, affordability, and reliability,” said Jim Schirmer, Senior Vice President and Deputy Managing Director of American Rheinmetall Vehicles.
Textron Systems brings to the team more than three decades of experience designing, manufacturing, fielding, and supporting unmanned platforms across air, land and sea domains.
Textron Systems and its subsidiary, Howe & Howe, contribute extensive knowledge of robotics and systems integration to the S-MET Inc II program, having developed the mature, multi-mission capable RIPSAW® M5 and M3 ground robotics platforms for the Army’s Robotic Combat Vehicle (RCV) programs. Leveraging the control architecture developed for Textron Systems’ RCV solutions, the team’s S-MET vehicle provides a commonality that enables operators to utilize a common interface for both the RCV and S-MET programs. This approach reduces the overall training burden and maximizes investments made.