A team of MIT researchers developed a new algorithm that could eventually allow drones to constantly learn to adapt to ...

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown ...

Abstract: This article is concerned with the multiagent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD) method is developed by introducing a randomized ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

The drone system learns from flight data to handle changing winds. It stays on course and doesn't need wind details before ...

The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal ...

TAMP is a GPU-accelerated TAMP framework that solves complex robotic planning tasks in seconds by evaluating thousands of ...