46 lines
2.7 KiB
TeX
46 lines
2.7 KiB
TeX
\chapter{Introduction}
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RoboCup \cite{robocup} is an international competition in the field of
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robotics, the ultimate goal of which is to win a game of soccer against a human
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team by the middle of the 21st century. The motivation behind this objective is
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the following: it is impossible to achieve such an ambitious goal with the
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current state of technology, which means that the RoboCup competitions will
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drive scientific and technological advancement in such areas as computer
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vision, mechatronics and multi-agent cooperation in complex dynamic
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environments. The RoboCup teams compete in five different leagues: Humanoid,
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Standard Platform, Medium Size, Small Size and Simulation. Our work in this
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semester was based on the rules of the \textit{Standard Platform league}. In
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this league all teams use the same robot \textit{Nao}, which is being produced
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by the SoftBank Robotics. We will describe the capabilities of this robot in
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more detail in the next chapter.
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A couple of words need to be said about the state-of-the-art. One of the most
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notable teams in the Standard Platform League is \textit{B-Human}
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\cite{bhuman}. This team represents the University of Bremen and in the last
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nine years they won the international RoboCup competition six times and twice
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were the runner-up. The source code of the framework that B-Human use for
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programming their robots is available on GitHub, together with an extensive
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documentation, which makes the B-Human framework a frequent starting point for
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RoboCup beginners.
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\section{Our Objective and Motivation}
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\label{sec problem statement}
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In this report we are going to introduce the robotics project, which our team
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worked on during the Summer Semester 2018. The main objective of our work was
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to explore a possible strategy for fast goal scoring. There are three main
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aspects of our motivation behind this objective. The first one is the fact,
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that goal scoring is crucial for winning soccer games, therefore fast and
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effective goal scoring will bring the team closer to victory. Secondly, in
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order to score a goal, many problems and tasks need to be solved, which we will
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describe in close detail in the next chapter. The work on these tasks would
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allow us to acquire new competences, which we could then use to complement the
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RoboCup team of TUM. Finally, this objective encompasses many disciplines, such
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as object detection, mechatronics or path planning, which means that working on
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it might give us a chance to contribute to the research in these areas.
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Having said that, we hope that our project will be a positive contribution to
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the work, being done at the Institute for Cognitive Systems, and that this
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report will help future students to get familiar with our results and continue
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our work.
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