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Rapid Adaptation of Deep Learning Teaches Drones to Survive Any Weather

05-05-22

To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions. A team of engineers from Caltech has developed Neural-Fly, a deep-learning method that can help drones cope with new and unknown wind conditions in real time just by updating a few key parameters. [Caltech story]

Tags: research highlights GALCIT CMS Yisong Yue Soon-Jo Chung Animashree Anandkumar Xichen Shi Guanya Shi Michael O'Connell Kamyar Azizzadenesheli

Aerospace Students Receive Innovation Award At LA Autoshow

12-12-18

GALCIT graduate students Marcel Veismann, Chris Dougherty, and Xichen Shi received a KPMG innovation award for their work on the Center on Autonomous Systems and Technology (CAST) robotic flying ambulance. The students were recognized for “achieving the highest level of excellence in research and innovation” and had the opportunity to presented to an audience of 300 executives at the LA Auto Show.

Tags: honors GALCIT Marcel Veismann Chris Dougherty Xichen Shi