Gecko Robotics Announces $5M U.S. Navy Contract Expansion to Speed Maintenance Cycles
July 14, 2023
Gecko Robotics said its robots and AI-powered software will accelerate inspection, maintenance, and repairs of U.S. Navy surface vessels, improving defense readiness.
Sarcos Successfully Demonstrates Robotics for Shipyard Maintenance, Inspection, and Repair
October 27, 2022
Sarcos recently showed the capabilities of its robots for dexterous manipulation and teleoperation on the ground and at height for the U.S. Navy.
RE2 Marks Technical Achievement With STARFISH Gripper for the U.S. Navy
June 28, 2022
RE2 has successfully assembled and lab-tested STARFISH, a gripper with multimodal sensing that is able to grasp a variety of objects underwater. It is designed for explosive ordnance disposal.
RE2 Robotics, VideoRay Reach Reach New Depth With Underwater Robot
March 23, 2022
RE2 Robotics, which has developed the Maritime Mine Neutralization System with VideoRay, has set a new 1 km depth record for inspection-class remotely operated vehicles underwater.
U.S. Navy Increases Contract Award for Sarcos Guardian DX Dexterous Mobile Robotic Avatar
October 12, 2021
Following successful execution of the first phase of the Guardian DX contract, the U.S. Navy is paying to expand testing, evaluation, and demonstrations for Navy-specific tasks
10 Ground Robots in Development and Testing for Military Applications
May 31, 2021
The U.S. Department of Defense and militaries around the world are working to improve the endurance, usability, and autonomy of ground robots for explosive ordnance removal and other tasks.
Navy Dips its Toe into 3D Printing
January 10, 2019
The U.S. Navy hopes to reduce production lead times and part production costs using additive manufacturing.
Additive’s Role in Defense
July 13, 2018
Panelists discuss promise and challenges of implementing AM in the military.
Senvol Analysis Software Reduces Trial and Error of Additive Manufacturing Processes
March 29, 2018
The Senvol ML project is aimed at reducing the trial-and-error approach to defining AM material-process procedures.