An APL engineer modifies a robot to test  its navigation algorithms

Artificial Intelligence, Machine Learning, and Autonomy

Engineering with intelligence

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and vulnerable to infiltration on the other.

From health care to planetary defense and national security, Johns Hopkins APL continues to make advances in AI to ensure the technology’s capabilities while identifying, minimizing, or eliminating its weaknesses.

A Laboratory-wide collaborative community of AI researchers and applied scientists works in domains from beneath the sea to outer space to innovatively incorporate autonomy, computer vision, machine learning, and other AI techniques across the breadth of our programs and projects. Internally funded AI exploration and research help us take bold steps in this realm to continue advancing AI for the good of the nation and the world.

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Related Projects

Autonomous swarming unmanned surface vessels (SUSVs) — equipped with Johns Hopkins APL-developed hardware and autonomy software

Uncrewed Surface Vessel Perception

International regulations for preventing collisions at sea require vessels to operate within certain distances based on the visual identification of other vessels.
Learn more about Uncrewed Surface Vessel Perception

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