paper available at https://www.researchgate.net/publicat...
RoboCup is an International robotics initiative whose aim is to promote robotics and AI research.
RoboCup's long-term goal is to create a fully autonomous humanoid robot team capable of competing and winning a soccer game against the human World champion team, in compliance with the official rules of FIFA, by 2050.
In this work, we use a two-step method for action recognition. In the first step, we extract the pose of the robots. In the second step, a Spatial-Temporal Graph Convolutional Network is used for modeling the gameplay, with particular regard to fall-down detection.