The Defense Innovation Unit (DIU) has published a solution brief for Artificial Intelligence (AI) enabled unmanned systems. Responses will be accepted through July 19.
The Department of Defense (DoD) seeks commercial solutions to develop AI-enabled unmanned systems for the purpose of multi-agent cooperative autonomy. This effort seeks to develop multi-agent systems capable of autonomous operation, without the use of RF control, Global Navigation Satellite System (GNSS) reference in highly dynamic, unstructured and unknown environments. The solution should be capable of swarming in complex, contested, and congested environments.
The program will follow a structured development approach whereby solutions with initial desired capability will be rapidly prototyped, tested, and fielded concurrently with continued prototyping of the next iteration of capability.
The Government understands that companies will likely not be able to meet all of the requirements listed below, but encourage companies with demonstrable capability applicable to one or more the requirements to apply. This includes companies focused on exhibiting the operation of neural networks in unstructured and unknown simulated and natural environments and/or companies developing autonomous sUAS solutions.
If appropriate, the Government may request vendors to create integrated teams to combine solutions.
The Government has a strong preference for platforms, models, and software that follow the idea of a modular, open-systems architecture. Where possible, use open standards for data ingest, storage, and exchange as well as for the training, deployment, and transfer of neural networks. Software components should be able to be swapped out for other, comparable components via a modular architecture.
Development of the individual autonomous sUAS platform with the understanding that platform will need to network with no less than (3) similar platforms, training and development of AI neural networks for mission scenarios, and increased standoff range for the delivery of sUAS into operational environments.
Full information is available here.
Source: DIU
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