Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots
<|reference_start|>Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots: Robots playing soccer often rely on hard-coded behaviors that struggle to generalize when the game environment change. In this paper, we propose a temporal logic based approach that allows robots' behaviors and goals to adapt to the semantics of the environment. In particular, we present a hierarchical representation of soccer in which the robot selects the level of operation based on the perceived semantic characteristics of the environment, thus modifying dynamically the set of rules and goals to apply. The proposed approach enables the robot to operate in unstructured environments, just as it happens when humans go from soccer played on an official field to soccer played on a street. Three different use cases set in different scenarios are presented to demonstrate the effectiveness of the proposed approach.<|reference_end|>
@article{suriani2024play,
    title={Play Everywhere: A Temporal Logic based Game Environment Independent
  Approach for Playing Soccer with Robots},
    author={Vincenzo Suriani, Emanuele Musumeci, Daniele Nardi, Domenico Daniele
  Bloisi},
    journal={Lecture Notes in Computer Science ((LNAI,volume 14140)) Included
  in the following conference series: Robot World Cup RoboCup 2023: Robot World
  Cup XXVI},
    year={2024},
    doi={10.1007/978-3-031-55015-7_1},
    archivePrefix={arXiv},
    eprint={2405.12628},
    primaryClass={cs.RO cs.AI}
}