November 22, 2021 | International, Aerospace
While the show is dedicated to both commercial and defense aircraft, this year's edition seemed to lean heavily toward the former.
November 16, 2023 | International, Aerospace
Marc Allen will step down as Boeing's chief strategy officer at the end of the year and leave the company in 2024 as the U.S. planemaker pares down its strategy arm.
June 12, 2019 | International, Naval, Security, Other Defence
BALTIMORE – June 10, 2019 – The U.S. Marine Corps has awarded Northrop Grumman Corporation (NYSE: NOC) a $958 million contract for Lot 6 full-rate production of the Gallium Nitride-based (GaN) AN/TPS-80 Ground/Air Task-Oriented Radar (G/ATOR) systems. This contract provides an additional 30 units. The program is managed by Program Executive Officer Land Systems. “Northrop Grumman and the Marine Corps have successfully partnered to create a best of ground and airborne radar solution that exceeds the current threat on the modern battlefield,” said Christine Harbison, vice president, land and avionics C4ISR, Northrop Grumman. “G/ATOR is a crucial capability that protects our warfighters and defends against today's threat environment and the threat environment of the future. We are excited to reach the full-rate production decision and continue providing advanced multi-mission functionality that meets our customer's mission needs, protects the warfighter in a rapidly changing threat environment, and has significant margin for capability growth.” G/ATOR replaces five legacy systems operated by the Marine Corps with a single system, providing significant improvements in performance when compared to the legacy radar families in each of its modes. This results in reduced training, logistics and maintenance costs. The AN/TPS-80 G/ATOR is an advanced Active Electronically Scanned Array (AESA) multi-mission radar that leverages GaN to provide comprehensive real time, full-sector, 360-degree situational awareness against a broad array of threats. The highly expeditionary, three-dimensional, short-to-medium-range multi-role radar system is designed to detect, identify, and track cruise missiles, manned aircraft and unmanned aerial vehicles as well as rockets, mortars and artillery fire. https://news.northropgrumman.com/news/releases/northrop-grumman-awarded-contract-to-provide-marine-corps-full-rate-production-gator-radar-systems
February 13, 2020 | International, Land
By: Kelsey D. Atherton In a fake city in Mississippi, DARPA is training robots for war. In December 2019, at a camp southeast of Hattiesburg, hundreds of robots gathered to scout an urban environment, and then convert that scouting data into useful information for humans. Conducted at Camp Shelby Joint Forces Training Center, the exercise was the third test of DARPA's OFFensive Swarm-Enable Tactics (OFFSET) program. OFFSET is explicitly about robots assisting humans in fighting in urban areas, with many robots working together at the behents of a small group of infantry to provide greater situational awareness than a human team could achieve on its own. The real-time nature of the information is vital to the vision of OFFSET. It is one thing to operate from existing maps, and another entirely to operate from recently mapped space, with continuing situational awareness of possible threats and other movement through the space. Dating back to at least 2017, OFFSET is in part an iterative process, with contractors competing for and receiving awards for various ‘sprints,' or narrower short-turnaround developments in coding capabilities. Many of these capabilities involve translating innovations from real-time strategy video games into real life, like dragging-and-dropping groups units to give them commands. For the exercise at Camp Shelby, the swarms involved both ground and flying robots. These machines were tasked with finding specific items of interest located in buildings at Camp Shelby's Combined Arms Collective training Facility. To assist the robots in the field experiment, organized seeded the environment with AprilTags. These tags, which are similar to QR codes but trade complexity of data stored for simplicity and robustness in being read at difference, were used to mark the sites of interest, as well as hazards to avoid. In practical use, hazards seldom if ever arrive with barcodes explicitly labeling themselves as hazards, but for training the AprilTags provide a useful scaffolding while the robots coordinate in other ways. “As the swarm relayed information acquired from the tags,” wrote DAPRA, “human swarm tacticians adaptively employed various swarm tactics their teams had developed to isolate and secure the building(s) containing the identified items.” That information is relayed in various ways, from updated live maps on computer screens to floating maps displayed in real time in augmented reality headsets. As foreshadowed by countless works of cyberpunk fiction, these “human swarm tacticians” interfaced with both the real world and a virtual representation of that world at once. Commanding robots to move in real space by manipulating objects in a virtual environment, itself generated by robots exploring and scouting the real space, blurs the distinction between artificial and real environments. That these moves were guided by gesture and haptic feedback only further underscores how deeply linked commanding robots can be to augmented reality. The gesture and haptic feedback command systems were built through sprinter contracts by Charles River Analytics, Inc., Case Western University, and Northwestern University, with an emphasis on novel interaction for human-swarm teaming. Another development, which would be as at home in the real-time strategy game series Starcraft as it is in a DARPA OFFSET exercise, is the operational management of swarm tactics from Carnegie Mellon University and Soar Technology. Their developments allowed the swarm to search and map a building on its own, and to automate resource allocation in the process of accomplishing tasks. For now, the heart of the swarm is as a scouting organism built to provide information to human operators. https://www.c4isrnet.com/unmanned/2020/02/11/darpa-wants-commanding-robots-to-work-like-a-video-game