"Neural Lander" Uses AI to Land Drones Smoothly
05-23-19
Professors Chung, Anandkumar, and Yue have teamed up to develop a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, while gobbling up less power. The system they have created, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing. The new system could prove crucial to projects currently under development at CAST, including an autonomous medical transport that could land in difficult-to-reach locations (such as a gridlocked traffic). "The importance of being able to land swiftly and smoothly when transporting an injured individual cannot be overstated," says Professor Gharib who is the director of CAST; and one of the lead researchers of the air ambulance project. [Caltech story]
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research highlights
Morteza Gharib
Yisong Yue
Soon-Jo Chung
Animashree Anandkumar
Students Chart a Course to Enceladus
04-25-19
Where there is water, there may be life, which is why students participating in the 2019 Caltech Space Challenge were tasked with finding a way to probe Saturn's moon Enceladus. In March 2019, 32 graduate and undergraduate students from around the world met at Caltech, divided into two teams, and designed their best proposals to meet this year’s challenge, with a theoretical budget of $1 billion. "It was important to dream big for this project, but equally important to be practical," explained Caltech aerospace graduate student Fabien Royer who co-organized the event with graduate student Simon Toedtli. [Caltech story]
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GALCIT
Space Challenge
Fabien Royer
Simon Toedtli
Community College Students Thrive at Caltech
01-02-19
This summer, Maria Hernandez—a student at Santa Monica Community College—lived in Caltech student housing and spent her days in Professor Beverley McKeon's lab, building an autonomous submersible robot from scratch. This was the second summer in a row that Hernandez participated in a program through the nonprofit organization Base 11, which connects high-achieving, underrepresented students from community colleges throughout the country with top research institutions like Caltech. "This program gave me the inspiration to become an engineer," says Hernandez, now in her fourth year of college. "Throughout high school, I was always good at math, but I never really knew what engineering was. The closest thing to an engineer in the community I grew up in was a mechanic." [Caltech story] [ENGenious snap shot]
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GALCIT
Beverley McKeon
teaching
Maria Hernandez