OnayoMoro/Development-of-Autonomous-Crazyflie-Swarm-and-Physicomimetic-Emergence-in-Swarm-Topologies

This project is an academic artifact, likely a undergraduate or master's thesis, given its age (5+ years) and low engagement (3 stars). While it provides a holistic approach combining simulation (Unity) with physical hardware (Crazyflie), it lacks the momentum or community adoption required for defensibility. The 'physicomimetic' approach (treating drones like particles in a physics simulation) is a well-documented academic technique, and modern swarm research has largely moved toward Graph Neural Networks (GNNs) and Reinforcement Learning (RL) for coordination. The project is highly hardware-specific; any developer working with Crazyflie drones today would likely use the official Bitcraze Crazyswarm2 or more modern simulators like NVIDIA Isaac Sim. The displacement horizon is '6 months' because the methodology is already effectively superseded by more recent research in the field, and the repository is stagnant.