Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.
Jonathan How
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Autonomous innovations in an uncertain world
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3 Questions: Honing robot perception and mapping
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
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Helping robots collaborate to get the job done
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
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Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
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Technique helps robots find the front door
Navigation method may speed up autonomous last-mile delivery.
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System prevents speedy drones from crashing in unfamiliar areas
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.