At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, in ways that have led to financial savings and improved patient outcomes.

PATH has launched the largest study of its kind in Africa, recruiting 9,000 participants to test whether AI can help primary ...

Navigating efficiently to an object in an unexplored environment is a critical skill for general-purpose intelligent robots. Recent approaches to this object goal navigation problem have embraced a ...

Rivers are Earth's arteries. Water, sediment and nutrients self-organize into diverse, dynamic channels as they journey from ...

Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

To guarantee safe motion planning, the underlying path planning algorithm must consider motion uncertainties and uncertain state information related to static, and dynamic obstacles. This paper ...

Autonomous vehicles require highly reliable collision-free capabilities, necessitating extensive research in path planning. Path planning determines an optimal path, crucial for safe and efficient ...

This project is mainly about testing different path planning techniques in a certain world full of obstacles and how turtlebot3 managed to get to the goal position. It tackles 3 path planning ...

This algorithm delves into some of the most important primitives in graph algorithms: iterative convergence to solutions, graph partitioning, and multi-source shortest path structures. On each of ...