In this post, I'll go through the tutorials available from the MoveIt website for MoveIt 2. I have a few notes to add for the first few tutorials, but the majority of my focus is on the final tutorial, Pick and Place with MoveIt Task Constructor. I'll explain more about how it works and the underlying principles so you can get started building your own task set for MoveIt.
Learn how ros2_control can move a six degrees of freedom (DOF) robot arm by working through an example simulation. I'll show how joint trajectories, controllers, and hardware interfaces fit together, plus identify what you need to change when adapting the example for a real arm.
How well can a low-cost single-board computer handle AI for robotics? In this post, I test the RDK X3 Sunrise with three models: YOLOv5 object detection; skeleton tracking; and a large language model. I comment on their performance and potential in real robot applications.
This post shows how to use ROS 2 to control the CamJam EduKit #3. It uses a Raspberry Pi Zero 2W, which is a small development board with minimal compute power. However, the Pi Zero can still run a full Linux Operating System, which makes it a great entry point into building your own cost-effective robot.
Many of the blogs on this site and the videos on my YouTube channel make use of ROS 2, but I have yet to describe what ROS 2 is or why it's worth taking the time to learn. This article is an entry level post on what ROS 2 is, the basic concepts, and why you might want to learn it.
AWS IoT Greengrass, or Greengrass for short, is a way of deploying software to an edge device, like a server on a factory floor, and managing the lifecycle of that software. From the cloud you can configure the software that is deployed to the edge and how that software is configured, as well as build your own software to be deployed by Greengrass.
If you want a cheap robot kit, it's hard to do better than the CamJam EduKit #3. This is a small kit which you can assemble into a two-wheeled robot with a caster, as long as you buy a few extras. This post gives a brief overview to the videos on my YouTube channel that show how to set it up.
Should you connect your robots to the cloud? This post explores how cloud robotics can help you scale fleets, access powerful computing, and offload demanding workloads, along with the costs, connectivity, security, and integration trade-offs to consider.
This post is about connecting ROS2 robots to the cloud with a quick and simple Greengrass setup. I'll guide you through building a sample component that can be hosted on a server connected to your robot fleet, which will connect the robots to AWS IoT Core without modifying the robot software in any way. Setup requires installing only a few prerequisites.
Robot simulation makes development faster and more repeatable, but realistic environments often demand powerful hardware. In this guide, we'll use a GPU-equipped Amazon EC2 instance to run an O3DE multi-robot simulation in the cloud, accessing and controlling it through a remote desktop.