Amazon Web Services has announced the launch of AWS RoboMaker, a cloud robotics service that promises to make it easy to develop, simulate, and deploy intelligent robotics applications at scale.
RoboMaker extends the Robot Operating System (ROS) – the most widely used open-source robotics software framework – with connectivity to cloud services. This includes AWS machine learning services, monitoring services, and analytics services that enable a robot to stream data, navigate, communicate, comprehend, and learn.
RoboMaker provides a robotics development environment for application development, a robotics simulation service to accelerate application testing, and a robotics fleet management service for remote application deployment, update, and management.
Robots are machines that sense, compute, and take action. Robots need instructions to accomplish tasks, and these instructions come in the form of applications that developers code to determine how the robot will behave.
According to AWS, developing, testing, and deploying intelligent robotics applications is typically difficult and time consuming. Building intelligent robotics functionality using machine learning is complex and requires specialized skills. Setting up a development environment can take each developer days and building a realistic simulation system to test an application can take months due to the underlying infrastructure needed. Once an application has been developed and tested, a developer needs to build a deployment system to deploy the application into the robot and later update the application while the robot is in use.
AWS RoboMaker provides the tools to make building intelligent robotics applications more accessible, a fully managed simulation service for quick and easy testing, and a deployment service for lifecycle management. AWS RoboMaker removes the heavy lifting from each step of robotics development so you can focus on creating innovative robotics applications.
AWS RoboMaker aims to remove the heavy lifting from each step of robotics development so developers can focus on creating innovative robotics applications.
AWS RoboMaker includes sample robotics applications to help developers get started quickly. It is also pre-integrated with AWS services like Amazon Kinesis (video stream), Amazon Rekognition (image and video analysis), Amazon Lex (speech recognition), Amazon Polly (speech generation), and Amazon CloudWatch (logging and monitoring) – all of which makes it easy to add functions like video streaming, face and object recognition, voice command and response, or metrics and logs collection to robotics applications.
RoboMaker also enables developers to manage the lifecycle of a robotics application from building and deploying the application, to monitoring and updating an entire fleet of robots.