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This new autonomous startup has designed its delivery robot to conquer winter

Refraction, a new autonomous delivery robot company that came out of stealth Wednesday at TC Sessions: Mobility, sees opportunity in areas most AV startups are avoiding: regions with the worst weather.
The company, founded by University of Michigan professors Matthew Johnson-Roberson and Ram Vasudevan, calls its REV-1 delivery robot the Goldilocks of autonomous vehicles.
The pair have a long history with autonomous vehicles. Johnson-Roberson got his start by participating in the DARPA Grand Challenge in 2004 and stayed in academia researching and then teaching robotics. Vasudevans career had a stint at Ford working on control algorithms for autonomous operations on snow and ice. Both work together at University of Michigans Robotics Program.
The REV-1 is lightweight and low cost there are no expensive lidar sensors on the vehicle it operates in a bike lane and is designed to travel in rain or snow, Johnson-Roberson, co-founder and CEO of Refraction told TechCrunch.
The robot, which debuted onstage at the California Theater in San Jose during the event, is about the size of an electric bicycle. The REV-1 weighs about 100 pounds and stands about 5 feet tall and is 4.5 feet long. Inside the robot is 16 cubic feet of space, enough room to fit four or five grocery bags.
Its not particularly fast top speed is 15 miles per hour. But because its designed for a bike lane, it doesnt need to be. That slower speed and lightweight design allows the vehicle to have a short stopping distance of about five feet.
Refraction has backing from eLab Ventures and Trucks Venture Capital.
Consumers have an appetite and an expectation for on-demand goods that are delivered quickly. But companies are struggling to find consistent, reliable and economical ways to address that need, said Bob Stefanski, managing director of eLab Ventures.
Stefanksi believes Refractions sturdy, smaller-sized delivery robots will allow forfaster technology development and will be able to cover a larger service area than competitors operating on the sidewalk.
Their vehicles are also lightweight enough to deploy more safely than a self-driving car or large robot, Stefanski noted. The market is huge, especially in densely populated areas.
The REV-1 uses a system of 12 cameras as its primary sensor system, along with radar and ultrasound sensors for additional safety.
It doesnt make sense economically speaking to use a $10,000 lidar to deliver $10 of food, Johnson-Roberson said. By skipping the more expensive lidar sensor, theyre able to keep the total cost of the vehicle to $5,000.
The companys first test application is with local restaurant partners. The company hopes to lock in bigger national partnerships in the next six months. But dont expect those to be in the southwest or California, where so many other autonomous vehicle companies are testing.
Other companies are not trying to run in the winter here, Johnson-Roberson said. Its a different problem than the one that others are trying to solve, so we hope that gives us some space to breathe and some chance to carve out some opportunity.
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