self balancing autonomous bicycles navigating around the streets. essentially, what is happening is that machines need to move more naturally. the system enables drones and robots to take panoramic views of the world around them, just like an insect would. then, like a honey bee, the sensing technology calculates the optic flow across the field of vision, considering any obstacles, and taking action to avoid collisions. the system has already been tested on drones and a robot dog named hopper. nature likes to solve things in the most simple way possible. it finds those solutions that stop you from having to do a lot of computation that you didn t need to do. one of the ways it does that is and how it perceives the world. so, every animal that we know of that uses vision to navigate works out the motion of the world around it. we call it optical flow. and that is exactly how
they can fly point to point and return to home, and they can share information with other bees in the hive. and then those bees can go to that location. that is exactly what robots need to do. we have robots in warehouses that need to move around and get to certain locations, and then come back, and then do that dynamically without bumping into other things or if the environment changes. we have the same in the air with drones, doing inspections. self balancing autonomous bicycles navigating around the streets. essentially, what is happening is that machines need to move more naturally. the system enables drones and robots to take panoramic views of the world around them, just like an insect would. then, like a honey bee, the sensing technology calculates the optic flow across the field of vision, considering any obstacles, and taking action to avoid collisions. the system has already been tested on drones and a robot dog named hopper.
or if the environment changes. we have the same in the air with drones, doing inspections. self balancing autonomous bicycles navigating around the streets. essentially, what is happening is that machines need to move more naturally. the system enables drones and robots to take panoramic views of the world around them, just like an insect would. then, like a honeybee, the sensing technology calculates the optic flow across the field of vision, considering any obstacles, and taking action to avoid collisions. the system has already been tested on drones and a robot dog named hopper. nature likes to solve things in the most simple way possible. it finds those solutions that stop you from having to do a lot of computation that you didn t need to do. one of the ways it does that is and how it perceives the world. so, every animal that we know of that uses vision to navigate works out of the motion of the world around it. we call it optical flow. and that is exactly how
need to move around and get to certain locations, and then come back, and then do that dynamically without bumping into other things or if the environment changes. we have the same in the air with drones, doing inspections. self balancing autonomous bicycles navigating around the streets. essentially, what is happening is that machines need to move more naturally. the system enables drones and robots to take panoramic views of the world around them, just like an insect would. then, like a honey bee, the sensing technology calculates the optic flow across the field of vision, considering any obstacles, and taking action to avoid collisions. the system has already been tested on drones and a robot dog named hopper. nature likes to solve things in the most simple way possible. it finds those solutions that stop you from having to do a lot
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