RE2 Robotics will continue the development and commercialization of its technology under the Dexterous Maritime Manipulation System (DM2S) program after receiving $2.5 million in funding from the Office of Naval Research.  Equipped with RE2’s DM2S technology, Navy personnel will be able to autonomously perform mine countermeasure (MCM) missions. During the next phase of the program, RE2 Robotics will upgrade its dual-arm prototype, known as the Maritime Dexterous Manipulation System (MDMS), for deep ocean use. To enable autonomous manipulation capabilities, the company will also apply computer vision and machine-learning algorithms. Lastly, RE2 says that it will integrate with underwater vehicles that can autonomously navigate.

Under a project funded by the UK’s national Defence and Security Accelerator (DASA), Sonardyne International Ltd. demonstrated technologies that it says will help autonomous vehicle operations in challenging environments. Sonardyne worked with a 12-meter-long SEA-KIT X class USV, and tested and validated sensors already used by UUVs for use on USVs in support of missions in coastal waters. The SEA-KIT X was equipped with Sonardyne’s SPRINT-Nav hybrid inertial navigation instrument, which was tested against local real-time kinematic (RTK) GPS positioning as part of the DASA program to fast-track autonomous vehicle capability in challenging or harsh conditions.

To meet the massive computing demands required to bring robotaxis to market, Pony.ai will equip its robotaxi fleet with the NVIDIA DRIVE AGX Pegasus platform, the company recently announced.  According to Pony.ai, DRIVE AGX Pegasus achieves an unprecedented 320 TOPS (trillions of operations per second) of deep learning. The platform integrates two NVIDIA Xavier SoCs and two NVIDIA Turing Tensor Core GPUs; both of which achieved top results in MLPerf Inference, the first industry-standard, independent AI benchmarks.

GA-ASI has spent the last nine years building deep experience with polymer-based additive technologies. Over the last few years, the company has made improvements in the development of its metal additive roadmap, as well as a dedicated additive manufacturing team. After establishing the required ecosystem requirements to develop its metal additive manufacturing application space, the GA-ASI Additive Manufacturing (AM) team identified a series of parts and families of applications that had potential favorable business cases.