Most 17-year-olds are busy with sports, school and college applications. But for one Southern California high school student, ...

We introduce CROW, a navigation system tailored for agricultural fields, specifically for operation under crop canopies. The system starts with a perception module that utilizes a self-supervised ...

Firefly Aerospace autonomous navigation is now fully in-house: the AI that executed two hazard avoidance maneuvers on the ...

Google Maps taking you the long way? Learn why the app defaults to slower routes and discover the hidden settings that will ...

Mobile robots have recently become more prevalent in human environments, including delivery robots on sidewalks, guide robots in museums and airports, and cleaning robots at shopping malls. However, ...

Robots have achieved impressive levels of reliability in structured environments such as factories and warehouses, where layouts are predictable and tasks follow predefined workflows. The real world, ...

Abstract: Despite many decades of evolution in navigation algorithm techniques, improving the performance of well understood and accepted workhorse algorithms remains an active research area.

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was collected in a suburban area in the Optics Valley of ...

The same error-prone sensitivity that has slowed down the development of quantum computers is being turned into an advantage for GPS-denied navigation. A new quantum sensing technology from ...

The team tested the algorithm on Northeastern’s Agile X Scout Mini mobile robot.Matthew Modoono/Northeastern University Researchers at Northeastern University have developed a new algorithm that ...