The U.S. Army has announced it will soon field a new robotic system designed to remotely disable explosives, Inside Defense reported Thursday.
The FLIR Systems-built Common Robotic System-Heavy platform would begin fielding this month in an effort to increase the safety of soldiers tasked to dispose of hazardous ordnance.
The company landed a $109 million contract in November last year to produce a maximum of 350 CRS-H units, with a procurement objective of at least 248 units.
The Army intends to implement CRS-H as a replacement to the existing Remote Ordnance Neutralization System.
Jeremy Howell, deputy robotics team chief at the Army, announced the fielding date at a recent event with the National Defense Industrial Association. “Almost every program we have now leads back to a universal controller,” Howell added.
Related Articles
The General Services Administration has launched USAi, a secure generative artificial intelligence suite designed to help federal agencies experiment with AI tools and accelerate AI adoption. GSA said Thursday the launch of USAi advances the priorities in the White House’s America’s AI Action Plan, which seeks to strengthen U.S. leadership in AI through coordinated federal action, streamlined adoption and smarter infrastructure. A panel discussion at the Potomac Officers Club’s 2025 Navy Summit on Aug. 26 will explore generative AI and how it optimizes decision-making within the service branch. Book your spot now at this GovCon networking event! Expanding Federal Government’s
Nextgov/FCW reported that the Federal Acquisition Regulatory Council on Thursday released new model deviation text for six parts of the FAR as part of the Revolutionary FAR Overhaul, or RFO, initiative. In April, President Donald Trump signed an executive order directing his administration to amend FAR to streamline the federal procurement process and eliminate barriers to doing business with the government. In June, the FAR Council released model deviation text for sections related to emergency acquisitions, contract modifications and acquisition of information and communication technology, or ICT. The overhauled FAR parts include sections related to administrative and information matters; required sources of
The National Science Foundation and NVIDIA will invest $152 million in the development of advanced, open-source artificial intelligence models aimed at accelerating American scientific discovery. The public-private investment will support the Open Multimodal AI Infrastructure to Accelerate Science project led by the Allen Institute for AI, or Ai2, NSF said Thursday. Public-Private Investment for Open Source AI Models NSF will provide $75 million, with NVIDIA contributing $77 million. The initiative supports the White House AI Action Plan and aims to ensure the United States remains a leader in AI-powered research and innovation. “As called for in the AI Action Plan,