Rgo Robotics exits stealth, aims to disrupt mobile robotics with visionary functionality
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Rgo Robotics has exited stealth mode with $20 million in funding. The startup enables mobile robots to operate autonomously by understanding their environment through artificial perception technology. This removes the burden of robot manufacturers to develop this complex technology.
Rgo Robotics has developed an AI-powered Perception Engine to allow mobile robots to understand complex surroundings by achieving purportedly human-level perception. Rgo says it has extensively tested its technology in “challenging” indoor and outdoor field trials.
The startup has achieved design wins worth more than $10 million with leading global robot OEMs across multiple verticals. It envisions applications in logistics, manufacturing, last-mile delivery, service, agriculture and consumers.
“Most mobile robots today are still blind and unable to navigate intelligently in dynamic and complex environments, and we see firsthand how hard it is for machine and robot manufacturers to develop basic visual perception on their own,” said Amir Bousani, CEO & cofounder, Rgo Robotics. “Our technology changes this. Leveraging the most advanced AI and vision technologies, Perception Engine allows mobile machines to see and understand the world around them so they can move autonomously, safely and intelligently in any environment. We call this Intelligent Autonomy.”
Rgo Robotics exited stealth mode with a series A funding in January, providing over $20 million. It aims to expand R&D and commercial teams. The startup was founded in 2018. Rgo further said it was awarded Robotics Business Review’s RBR50 Robotics Innovation Award.
Rgo’s Perception Engine consists of both software and hardware components. The hardware consists of an “ultra-low-cost” and “low power” reference design, while the software is available as an SDK. The data for the Perception Engine, through which the robot learns its environment, is provided over an API. The robot control system takes care of path planning and autonomous behaviors.
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