Dynamic machine perception for robotics, autonomous vehicles, and intelligent sensors
Machine perception. Intelligent behaviors. Optimal control. Adaptive online learning. UAVs. UGVs.
Computer vision. EO/IR/RADAR sensor fusion. Spatiotemporal exploitation. Real-time low SWAP.
3D physics simulations. Synthetic training data. Domain randomization. Sim-to-real.
In less than three years, artificial intelligence (AI) algorithms developed under DARPA’s Air Combat Evolution (ACE) program have progressed from controlling simulated F-16s flying aerial dogfights on computer screens to …
A sampling of PhysicsAI’s 2021 year in review: ✅We trained a deep neural network in less than one hour to drive a 26-ton US Army truck to perform convoy leader …
PhysicsAI is developing novel real-time machine perception technologies using deep neural networks for applications including: robotics, autonomous vehicles, intelligent sensors, and optimal control. The US Army and DARPA are major …
