Bit of a repost here from another thread asking for learning resources:
Awesome to see all the new interest in learning ROS! My company (Freedom Robotics) is releasing a series of blogs discussing some (seemingly) basic things like sensor selection and odometry tuning which enables really accurate SLAM, Localization and serves as the foundation for more complex things like navigation, planning and autonomy.
We (Freedom Robotics) build Logging, Visualization, Teleoperation and Fleet Management tools that help robotics companies build, ship and scale robot businesses quickly. We’re biased of course - but believe our logging and teleoperation tools are really awesome for tuning and calibration work. You can try our product here (one line installation) for yourself on a simulated or real robot as you learn - and right now we’re running a promotion one robot free for a year.
Here is the first blog in our series on sensor selection which walks through a number of decisions on real robot hardware that we have seen come up time and time again. It also sets you up for our next two in the series which walk through calibration and SLAM.
We’re pretty excited about putting out a lot more of this kind of content and would love to know whether it resonates with you or helps you set things up for your situation.
Our team is made up of co-founders and CTO’s from previous companies building cleaning robots, delivery robots, cloud infrastructure, computer vision platforms, video games and more. We have been trying to capture the hard learned robotics lessons from these experiences and what we are hearing from robotics companies in industry. If you form a slack group - we’d love to join and help you learn, answer questions or even introduce you to startups looking to hire once your ready for that! Drop me a line. firstname.lastname@example.org