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Watch: MIT Drone Autonomously Avoids Obstacles at 30 MPH

By Steve Crowe | November 6, 2015

Barry wrote about the system in his paper “Pushbroom Stereo for High-Speed Navigation in Cluttered Environments” (PDF) and says he needs to improve the software so it can work at more than one depth and dense environments.

“Our current approach results in occasional incorrect estimates known as ‘drift,’” he says. “As hardware advances allow for more complex computation, we will be able to search at multiple depths and therefore check and correct our estimates. This lets us make our algorithms more aggressive, even in environments with larger numbers of obstacles.”

So what’s the significance of all this? Well, if this technology was built into drones, they wouldn’t be able to crash into things, such as powerlines in West Hollywood that caused 650 people to be without power for three hours. But if Amazon, Google, Walmart and others want to drones to deliver products to customers, the drones can’t be crashing into things. It could also help hobbyists from destroying their drones.

MIT also recently tested a new system that combines simple control programs to enable fleets of drones to collaborate in unprecedented ways. MIT figured out how to sync the actions of multiple robots working in the same space, testing the concept on a small group of delivery drones. The drones need to cross paths to make the deliveries, obviously without crashing. Before they fly, the drones map out the optimal flight path and the Dec-POMDPs take over to aid the collaboration.

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About The Author

Steve Crowe

Steve Crowe is Executive Editor, Robotics, WTWH Media, and chair of the Robotics Summit & Expo and RoboBusiness. He is also co-host of The Robot Report Podcast, the top-rated podcast for the robotics industry. He joined WTWH Media in January 2018 after spending four-plus years as Managing Editor of Robotics Trends Media. He can be reached at scrowe@wtwhmedia.com

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