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We present a new paradigm of games, i.e. SwarmPlay, where each playingcomponent is presented by an individual drone that has its own mobility andswarm intelligence to win against a human player. The motivation behind theresearch is to make the games with machines tangible and interactive. Althoughsome research on the robotic players for board games already exists, e.g.,chess, the SwarmPlay technology has the potential to offer much more engagementand interaction with a human as it proposes a multi-agent swarm instead of asingle interactive robot. The proposed system consists of a robotic swarm, aworkstation, a computer vision (CV), and Game Theory-based algorithms. A novelgame algorithm was developed to provide a natural game experience to the user.The preliminary user study revealed that participants were highly engaged inthe game with drones (69% put a maximum score on the Likert scale) and found itless artificial compared to the regular computer-based systems (77% put maximumscore). The affection of the user's game perception from its outcome wasanalyzed and put under discussion. User study revealed that SwarmPlay has thepotential to be implemented in a wider range of games, significantly improvinghuman-drone interactivity.

SwarmPlay: A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human