CalTech Uses PyTorch To Build Smooth Landing Drones

Next-generation vehicles such as drones have a hard time landing. Drone controllers usually bring the drone near the ground and then drop it. How low the drone can be brought down depends on the aerodynamics of the drone and other reactions from the ground. Since drones of the future will be carrying medicines and other fragile instruments into mysterious landscapes or hilly areas, dropping the drone isn’t always desirable.  To address this problem of smooth landing, researchers at CalTech’s Center for Autonomous Systems and Technologies (CAST), have imbibed neural networks into their approaches.  At CAST, artificial intelligence experts are developing a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, whil