Robotics, the branch which is totally dedicated to the sector of Electronics and Computer Science Engineering is now being connected to Artificial Intelligence for several purposes. Such robots are being connected for enjoying soccer via Artificial Intelligence. This event is named Robocup. There’s a large competition yearly amongst researchers to present their robots on the Robocup Challenge. 

There was an introduction of Pyrus, which was a Python-based platform for the simulation of Robocup. Researchers from Dalhousie University and Memorial University of Canada published a research paper through which they mentioned that they’d train and test the model using Pyrus easily. The common frameworks used for the Robocup were HeliosBase and Cyrus2DBase. These frameworks used their primary language C++. These frameworks had benefits over others as C++ is used for a lot of instances, because it is more advanced and wide in comparison with Python. Researchers are also working on constructing a greater framework that shall be completely based on Python. This framework might be diversified and might be utilized by a wide selection of users with different technical experiences and skills. Frameworks like Tensorflow, Keras, and PyTorch are utilized in base code to a big extent. A framework equivalent to Pyrus implements C++base code easily. The predominant advantage of Pyrus over other frameworks is that it is straightforward and accessible so even beginners also can test their models for the Robocup league. The predominant problem is that the environment for Robocup is a bit noisy. To tackle this problem, researchers implemented Reinforcement Learning and Machine Learning models equivalent to dribbling or passing. This reduced the noise to some extent as that they had noise cancellation ability.

The Robocup has introduced all the info enthusiasts to unravel all Data Analytics problems to a bigger extent. Researchers have also introduced Pyrus to unravel basic Machine Learning Challenges related to Robocup. Researchers are still working on the Pyrus base code to enhance its performance. Researchers also plan to implement a Python monitor and log evaluation software to enhance the feasibility of the model to a bigger extent.

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