AWS

Amazon Web Services Announces AWS RoboMaker

SEATTLE–(BUSINESS WIRE)–Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), today announced the availability of AWS RoboMaker, a new service that makes it easy for developers to develop, test, and deploy robotics applications, as well as build intelligent robotics functions using cloud services. AWS RoboMaker extends the most widely used open source robotics software framework, Robot Operating System (ROS), with connectivity to AWS services including machine learning, monitoring, and analytics services to enable a robot to stream data, navigate, communicate, comprehend, and learn. AWS RoboMaker provides an AWS Cloud9-based robotics integrated development environment for application development, robotics simulation to accelerate application testing, and fleet management for remote application deployment, update, and management. To get started with AWS RoboMaker, visit http://aws.amazon.com/robomaker.

Robots are machines that sense, compute, and take action. More and more, a wide range of robots are becoming part of our everyday lives, performing tedious house chores, distributing inventory in warehouses, and inspecting pipelines, smokestacks, and high-voltage wires in dangerous industrial environments. Robots accomplish these tasks through instructions expressed in software applications that receive and process sensor data and control actuators that create movement and action. While it sounds simple in theory, developing, testing, and deploying intelligent robotics applications is difficult, time consuming, and demands a diverse set of hard-to-acquire skills. For example, implementing intelligent robotics functions like object recognition, natural language processing, or autonomous movement requires the machine learning knowledge of a data scientist. Setting up a development environment takes days of configuring the infrastructure and software. Creating realistic simulators to test robotics applications in multiple virtual environments takes months to build the software and infrastructure needed to run multiple simulations in parallel. Once an application has been completed, a developer still needs to either build or integrate with an over-the-air (OTA) system to deploy the application onto the robot and then update the application on the robot while it is in use. All of this effort severely limits the number of robots and intelligent functions in use today…

Read Full Release: BusinessWire

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