

Whether robots are helping fulfillment in warehouses, assisting those in need, or acting as security guards, these useful aids are filling niches in more and more places. As a result, software developers are increasingly interested in learning about and building robots.
To assist with this mission, Amazon Web Services Inc. recently released a new service called RoboMaker. It provides support for the end-to-end development lifecycle for building, deploying and monitoring applications for robots.
“We are really addressing the developer need on how to build and scale and run a robotics business,” said Roger Barga (pictured), general manager of robotics and autonomous services at AWS.
Barga spoke with John Furrier and Dave Vellante, co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during AWS re:Invent in Las Vegas. In addition to RoboMaker, they discussed other aspects of AWS integration for robotics. (* Disclosure below.)
Generally, robot makers are focused initially on the hardware, and then scramble to find applicable software. Those options are few and far between, according to Barga. AWS has stepped into this void, providing tools to get robots off the planning table and into the world where they can be most useful.
As part of this software, he said, AWS has bundled in its cloud service for machine learning, for analytics and for monitoring. Integrated with Amazon Polly, which turns text into speech, and its conversation bots in Amazon Lex, he said, “you can talk to your robot [and] your robot can respond to you.”
It is possible to stream video off the robot through Amazon Kinesis and set it to recognition, so the robot can “see” and the developer can then see what the robot is seeing, Barga explained. For example, the robot can be taught by the user to see and identify a “refrigerator.” Then it can be instructed to go to the refrigerator, and the robot will understand what that means.
One of the most interesting use cases for AWS helping robotic innovations is Lea, an assistant specifically designed for the needs of the elderly and disabled, allowing them to live more independent lives. Lea can do everything from detecting falls to giving reminders for activities, as well as picking up and bringing objects to the patient. She even knows how to slow dance.
“We think robotics has a great future,” Barga said. “It’s going to help our lives, and we think RoboMaker is the way they’re going do it.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s extensive coverage of AWS re:Invent. (* Disclosure: Amazon Web Services Inc. sponsored this segment of theCUBE. Neither AWS nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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