Challenges in Robotics Simulation
Robotics development is hard in general.
Therefore, they should be able to measure how accurately developed algorithms work in real-life scenarios, and ideally, they should validate their algorithm before deploying the robotics application on a physical robot.
Importance of Testing
Because if they launch the robot and start using it in real life before the test and validation phases, it might not work as expected or even it may cause dangerous situations, and then the authority has to terminate the robot and took back to the workplace for testing and validating. At this point we understand the importance of test and validation phases of robotics software development, otherwise, results will be severe in a time and economical manner. But how do we test and validate whether our algorithm doing well or not? The traditional method of doing this is preparing a real-life scenario suitable for the algorithm and then taking the robot outside and starting to perform your algorithm. However, is this way really effective? The answer is a big no.
Requirement of Powerful Workstations
As everything has pros and cons, if someone decides to test via simulation s/he will face some cons too. Since most of the simulation applications run through a 3D physics engine, they often require powerful computers: high-frequency CPU, high RAM, and most importantly a GPU. Furthermore, developers again need to deal with non-core work, which is the preparation of 3D environment will be present on simulation. Additionally, simulation application requires setup which sometimes may be irritating. Well, are there any alternative ways of doing tests? Yes!
Power and Flexibility in Simulation
robolaunch offers robot makers and developers a GPU accelerated simulation environment to do algorithm tests. robolaunch purged from the disadvantages mentioned on the other way of doing test and specially designed for solving these problems.
Different Simulation Environments
robolaunch users can test their software packages using a simulation environment without dealing with the setup, or design of 3D worlds. There are 10+ ready-to-use 3D worlds offered on the platform for different use cases. Some examples of 3D worlds are:
However you users are also able to design their desired 3D worlds on the platform. And most importantly, when it comes to simulation, users feel the power of GPUs present on robolaunch’s servers.
Single Platform for All
Not only these, but robolaunch also offers legacy tests, via physical robots. If you prefer to deploy your robotics stack on Kubernetes on your robot’s onboard computer, then you get full advantages of Kubernetes tools. Now you can loop a full life cycle starting from development, test to integration test, deployment. This will be fastening your go-to-market speed and after the market support. For example, you can modify and update your software stack on a robot using OTA (over-the-air update).