Tag: AWS; Robotics; AWS RoboMaker; Simulation

Join AWS Robotics experts and innovative robotics companies at re:Invent this year to learn how to advance and speed up efforts to build robotics applications. 

In this blog, learn about AWS RoboMaker WorldForge, and how 3D world generation can be used to streamline testing and training of core robotic algorithms at scale.

Nowadays, risk of spreading disease is a key concern in hospitals, where doctors, nurses and other caregivers are on the front lines helping patients. Hospitals have started using robots in daily operations such as contactless delivery and room disinfection to reduce risk of spreading disease. As the need for robots in healthcare grows, better tools are needed to build, test, and deploy robotics applications quickly and safely. Amazon Web Services (AWS) has developed a Gazebo simulated Hospital World and published it as open source so that robotics companies within the Healthcare industry can more easily test their robots in a simulated hospital environment. In this blog, I will provide an overview of the hospital and share my experience using it to test a PR2 robot, including software failures that I encountered that you may find helpful.

Earlier this year, we held the AWS JPL Open Source Rover Challenge, a four-month competition where participants from around the world used deep reinforcement learning to drive digital robot models on a virtual Mars landscape. Participants created autonomous navigation models for the robot and trained them in AWS RoboMaker simulation. The virtual robot used in […]

This blog will explore best practices for testing and validation of robotics and autonomous systems running Robot Operating System (ROS) software. We will review how developers can increase their feature velocity and reduce errors by using simulation-based testing.

Robotics developers often need to run a fleet of robots in a simulation. Common scenarios include: Verifying the robots are able to navigate past each other in the same environment Collecting data from multiple robots running at the same time for a custom data-driven application Using machine learning to train robots how to react to […]

Building and testing robot applications for dynamic and changing real-world environments are difficult and complicated tasks. Developers have to consider virtually endless number of real-world situations, build their applications to withstand a variety of hardware-related issues, and produce algorithms and applications that can be successfully integrated with code written by their teammates. For many companies, […]

There are many benefits of using simulation in robot application development. One, a company may have a new product idea and wants to design, test and iterate on a set of prototypes before investing in physical hardware. Two, once you have a physical robot created, developers may not have access to expensive or large physical […]

UPDATE: We have been closely monitoring the situation with COVID-19, and after much consideration, we have made the decision to cancel re:MARS 2020. Our top priority is the well-being of our employees, customers, partners, and event attendees. Over the course of the coming weeks, we will explore other ways to engage the community. To stay […]

Roboticists test their robot applications in simulations to understand how applications behave in different environments. This helps roboticists debug their applications and develop resilient robots. Recently, AWS launched log-based simulation in AWS RoboMaker. Log-based simulation eases the burden of building and managing infrastructure for log-based simulations. In the world of Robot Operating Systems (ROS), a ROS bag is a file containing the […]