Last week I was talking to one lead engineer of a Singapore company which is building a benchmarking system for robot solutions. Having seen my presentation at ROSCON2016 about robot benchmarking, he asked me how I would benchmark solutions that are non-ROS compatible. I said that I wouldn’t dedicate time to benchmark solutions that are not ROS-based. Instead, I suggested I would use the time to polish the ROS-based benchmarking and suggest that vendors adopt that middleware in their products.
Lecturer Steffen Pfiffner of University of Weingarten in Germany is teaching ROS to 26 students at the same time at a very fast pace. His students, all of them within the Master on Computer Science of University of Weingarten, use only a web browser. They connect to a web page containing the lessons, a ROS development environment and several ROS based simulated robots. Using the browser, Pfiffner and his colleague Benjamin Stähle, are able to teach how to program with ROS quickly and to many students. This is what Robot Ignite Academy is made for.
Would you like to make a robot to grasp something, but you think that is impossible to you just because you can’t buy a robot arm? I’m here to tell that you can definitely achieve this without buying a real robot. Let’s see how:
Imagine how easy it would be to learn skating, if only it doesn’t hurt everytime you fall. Unfortunately, we, humans, don’t have that option. Robots, however, can now “learn” their skills on a simulation platform without being afraid of crashing into a wall. Yes, “it learns“! This is possible with the reinforcement learning algorithms provided by OpenAI Gym and the ROS Development Studio.
A new book by Lentin Joseph, ROS Robotics Programming, outlines more than 14 robotics projects using ROS that can be engaged with without requiring a lot of hardware. The book starts with an introduction to ROS and its installation procedure. After discussing the basics, you’ll be taken through great projects such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find ROS robotic applications for beginner, intermediate, and expert levels inside.
You probably know the Sphero robot. It is a small robot with the shape of a ball. In case that you have one, you must know that it is possible to control it using ROS, by installing in your computer the Sphero ROS packages developed by Melonee Wise and connecting to the robot using the bluetooth of the computer.
This handy video-tutorial course gives an introduction to the Robot Operating System (ROS), including many of the available tools that are commonly used in robotics. With the help of different examples, the tutorials offer a great starting point to learn programming robots. You will learn how to create software including simulation, to interface sensors and actuators, and to integrate control algorithms.
Clearpath Robotics, a leading provider of mobile robotic platforms for research and development, has partnered with ARGO XTR to release Warthog – a large, amphibious, all-terrain mobile robot designed for application development. Warthog enables researchers to reliably test, validate, and advance their robotics research faster than ever before in real-world conditions, whether on land or in water.
ROSCon is an annual conference focused on ROS, the Robot Operating System. Every year, hundreds of ROS developers of all skill levels and backgrounds, from industry to academia, come together to teach, learn, and show off their latest projects.
Here is the next set of posts from the OSRF blog, along with videos.
ROSCon is an annual conference focused on ROS, the Robot Operating System. Every year, hundreds of ROS developers of all skill levels and backgrounds, from industry to academia, come together to teach, learn, and show off their latest projects. ROSCon 2015 was held in Hamburg, Germany. Here’s a recap of the first videos posted on the OSRF blog.
A new book by Lentin Joseph, Mastering ROS for Robotics Programming, discusses advanced concepts in robotics and how to implement them using ROS. Readers will learn how to build models of complex robots, and how to simulate and interface their robots using the ROS MoveIt! and the ROS navigation stack. Just released this past December, this 481-page book is one of the most advanced books on ROS currently available.
There are magnificent tutorials about how to create plugins for Gazebo in the GazeboSim webpage. There are even some tutorials about how to create plugins for Gazebo + ROS, which show that there are several types of plugins (world, model, sensor, system, visual), and indicate how to create a plugin for a world-type plugin. But I recently I needed to create a plugin for a light detector and couldn’t find a concrete example. Here’s a how-to post showing you how I did it.
At eight years old, ROS is growing faster than ever. We’re excited to see how brand new startups are taking advantage of ROS to develop useful, reliable robots. In 2015 alone, more than $150 million in VC funding was invested in businesses that use ROS. And that’s just the companies we are aware of.
Fully autonomous robotics could be developed today if objects could tell a robot what they are, their purpose and how to utilize them. Liatris is a new open source project built with ROS. Its objective is to reliably read an object’s pose and identity without relying on vision. It presents an opportunity to rip down the barriers that prevent robotics from being present in our everyday lives.