Robotics CocoA start -up known for the fleet of latest mile delivery bots, wants to get more information from the five years of data value that has gathered his robots. His answer: A Natural AI workshop with the University of California Professor of Los Angeles (UCLA) Bolei Zhou on the steering wheel.
Coco Robotics, who made the announcement on Tuesday, said Zhou has also joined the Los Angeles launch as lead scientist AI.
When the company started in 2020, it used teleprints to help bots navigate their delivery routes. Coco Robotics co -founder and CEO Zach Rash told Techcrunch that the company’s goal was always to operate the latest delivery robots to reduce the overall delivery costs. Now, Rash said the company has collected enough data to dive deeper into automation.
“We have millions of miles of data collected in the most complex urban environment and that data is extremely important for the preparation of any kind of useful and reliable AI systems,” Rash said. “We are now at the point where we have a sufficient scale of data where I think we can really start to accelerate many of the research that is happening around the natural AI.”
The decision to hit Zhou to drive the effort was a “no brainer”, Rash said. Zhou’s research on computer vision and robotics has largely focused on microbes, as opposed to full -scale vehicles, Rash said.
Coco Robotics has already worked with Zhou. Both Rash and Brad Squicciarini’s co -founder are Ucla Alums and have even donated one of their bots to the school research lab.
“[Zhou] He is one of the leading researchers around the world about robot navigation, aid learning and many of the technologies and research areas that are very important to us, “Rash said.
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This new research workshop is separate from the collaboration of the robotic start with Openai, which allows Coco Robotics to use Openai models, while the AI research lab has access to the data collected robots of the company.
Coco Robotics plans to use the information and research the IT it is gathering from the laboratory for its own purposes for now. Rash said the company has no plans to sell the data to its peers.
On the contrary, it will be used for the company to improve its automation and effectiveness, which will mainly concern the local models that operate its robots. Rash said they are also planning to share their research findings with the cities in which they work when they are, to help resolve obstacles and infrastructure that slows down their bots.
“Success for this lab really looks at us by offering a higher quality service at an extremely low price,” Rash said. “How can we reduce our costs? How do this do this much more accessible to businesses and customers? I think it will create a huge increase in this ecosystem.”
