Perception and Strategy Learning in Robot Soccer

@inproceedings{Qian2016PerceptionAS,
  title={Perception and Strategy Learning in Robot Soccer},
  author={Yongbo Qian and Alex Baucom and Daniel D. Lee},
  year={2016}
}
Soccer robots need to reason efficiently and make real-time decisions in an uncertain game. However, with more objects of interest being changed to white and games being pushed towards variable lighting conditions, advanced vision algorithms are crucial for robot’s ability to perceive new surroundings in real-time. Upon accurately perceiving a dynamic game environment, intelligent role switching, team positioning, and path planning methods are also key to winning the game. We explored some… CONTINUE READING