VICTOR

Vibration-Controlled Task-Oriented Robot

Understanding how complex behaviors present themselves in nature – from schools of fish to bee swarms to moving crowds – persists as a challenge to statistical mechanics and complex systems science. Progress is often limited by the deficiency of accessible physical robots capable of producing controlled, stochastic motion, for emergent property experimentation. Our project presents a low-cost robotic system that utilizes vibration-driven randomized adjustable motion patterns. Once deployed in a group, we create a physical environment in which one agent provides to complex collective dynamics. This physical robot platform will be a model for a collective motion and serve as a bridge between theoretical models and real-world environments, enabling investigation into emergent motion in multi-agent systems.

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Phase One

Create a low cost, small, and autonomous robot by the October 23rd, 2025 deadline. Robot should demonstrate stocastic movement.

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Phase Two

Build 5 robots implementing a new microcontroller​ and sticking mechanism​. Create varying sized arenas and collect group movement data.

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Phase Three

Integrate recrusive Q-learning (AI), and establish a tabular data system to track and analyze robots' performance​. Observe multibot interactions to better understand how multiple agents cooperate in dynamic environment​.

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