MicroBot System is a modular prototype framework for exploring swarm-based systems and emergent behavior.
It combines simulation, visualization, and a minimal hardware implementation to study how simple units can coordinate and produce complex global dynamics without centralized control.
This repository demonstrates:
- how local interaction rules generate global behavior
- how a swarm system can be modeled, measured, and visualized
- how software, web interfaces, and hardware prototypes can be aligned within a single architecture
- Simulation of interacting agents with real-time metrics
- Web-based dashboard reflecting system state
- ESP32 prototype representing physical nodes
- Structured architecture and documentation
MicroBot is a modular swarm system concept based on distributed units (nodes) that coordinate to produce emergent collective behavior.
The project explores a shift from traditional single-robot architectures to a distributed intelligence model, where simple agents interact locally to generate complex global patterns.
This repository contains a unified prototype composed of three main layers:
- Simulation (behavior and swarm logic)
- Web interface (visualization and interaction)
- Hardware prototype (ESP32-based physical nodes)
The system is structured into three interconnected components:
A Python-based environment that models swarm behavior using simple local rules.
Key features:
- Multi-agent system simulation
- Emergent behavior patterns
- Modular and extensible logic
- Real-time state evolution
Purpose: To validate swarm logic before applying it to physical hardware.
A browser-based visualization layer designed to represent system behavior and structure.
Key features:
- Interactive UI
- Real-time visual feedback
- System metrics and overlays
- Conceptual representation of swarm dynamics
Purpose: To provide a human-readable interface for understanding and presenting the system.
A physical implementation of basic swarm principles using microcontrollers and LEDs.
Key features:
- Multiple nodes simulated via LED units
- State-based behavior system
- Serial-controlled interaction
- Pattern-based coordination (sync, wave, chase, random, alert)
Purpose: To demonstrate how abstract swarm logic can be translated into real-world behavior.
MicroBot is based on the principle that:
Complex systems can emerge from simple rules applied across distributed agents.
Instead of central control, each unit follows local logic, and the global behavior emerges from interaction.
This aligns with:
- Swarm robotics
- Distributed systems
- Emergent computation
- Programmable matter (long-term vision)
- Navigate to the simulation folder
- Run the main Python file:
python main.py- Open the web folder
- Launch the interface:
open index.htmlor serve it locally with a simple server
- Upload the provided
.inofile to ESP32 - Connect LEDs to defined GPIO pins
- Open Serial Monitor (115200 baud)
- Send commands:
0 -> OFF
1 -> SYNC PULSE
2 -> WAVE
3 -> CHASE
4 -> RANDOM
5 -> ALERT
This project represents an early-stage prototype, focused on:
- Demonstrating feasibility
- Building system architecture
- Exploring interaction models
The system is functional but still evolving.
Planned developments include:
- Real multi-node communication (wireless)
- Sensor integration
- Magnetic interaction systems
- Scalable swarm coordination
- AI-assisted behavior control
Anton Morosi
Independent developer focused on distributed systems, simulation, and modular robotics.
This project is part of a broader research and development path aimed at building a scalable swarm system.
It is intended both as a technical exploration and as a foundation for future applications.
Copyright (c) 2026 Anton Morosi. All rights reserved.
This repository is published for portfolio, educational, and demonstration purposes only. No permission is granted to copy, modify, redistribute, commercially use, sublicense, sell, or create derivative works from the code, documentation, images, diagrams, 3D assets, simulations, interface designs, technical descriptions, or project materials without prior written permission.
See LICENSE, NOTICE.md, and PUBLICATION_NOTICE.md for details.
This public repository may include simulated dashboards, conceptual UI states, planned specifications, and design targets. Unless a value is explicitly supported by hardware logs, test reports, measurements, or validation evidence, it should be treated as a prototype target or demonstration value rather than a hardware-validated result.