The goal of the XploreR project was to apply autonomous exploration using a single robot. In the next step, we combined the autonomous exploration algorithm
Depth estimation plays a big role in robotics, autonomous driving (mapping, localization and obstacle avoidance), augmented reality and many other computer vision technologies across many
Our recent migration of Karelics Brain from ROS 1 to ROS 2 had our whole team learning a lot of new things in a relatively
It is then obvious that when we have heard that a new installment of the RosDevDay conference will also take place in 2021 as
In our latest blogpost we have shown that we have already successfully finished, tested and shown to the world the first version of Karelics Brain.
At Karelics, one of our main missions is to shed more light on the fact that the 21st century is already shaping up to be
The world is highly complex. To operate in this complex world with self-driving robots, it would be hard to program all the tasks by hand,
The first question that you face when building a Robot is what should be the best size for it. There are several ways to do
Last year, I got an incredible opportunity to join a team at University of Eastern Finland and compete in MineRL competition. The competition sponsored by
Can you train a deep learning agent in video game and then transfer this learned information to a real world robot? How can we handle
Since the last blog post, we have taken the first steps towards self-driving. We would like our robot to use its sensors to observe the
The first task for us was to bring the 3D model of our robot to simulation so that we can eventually start experimenting with self-driving