MIT’s intelligent drone can avoid crashes and fly at 30 MPH

MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) PhD student Andrew Barry has developed a self-flying drone which can avoid crashes and travel at a speed of 30 miles per hour. The drone has been powered with an intelligent obstacle-detection system. It can easily glide through trees and other obstacles using dip, dart or dive and that too at a high speed. Barry said that many companies and technology experts are developing drones these days. However, it is rare to see a drone which can easily maneuver through obstacles. Barry’s drone weighs over a pound. The drone has a wingspan of 34 inch and total cost including a camera on each wing comes out to be $1,700. The drone also has two processors which help it navigate and lead through…


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