Juan M. Calderón

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This paper shows the results of applying machine learning techniques to the problem of predicting soccer plays in the Small Size League of RoboCup. We have modeled the task as a multi-class classification problem by learning the plays of the STOx's team. For this, we have created a database of observations for this team's plays and obtained key features(More)
Plenty of work based on the Rapidly-exploring Random Trees (RRT) algorithm for path planning in real time has been developed recently. This is the most used algorithm by the top research teams in the Small Size League of RoboCup. Nevertheless, we have concluded that other simpler alternatives show better results under these highly dynamic environments. In(More)
— In this study the current usage of each associated joint of a humanoid robot (NAO) during stand up process is analyzed. This study is the extension of our previous study [1] where the energy consumption of single and overall joints of a NAO robot during the walking process was researched while keeping the same stiffness values for all joints. This paper(More)
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