Designing for Distributed Heterogeneous Modularity: On Software Architecture and Deployment of MoonBots

TL;DR

This paper introduces a novel software architecture for modular space robotics, enabling dynamic reconfiguration, decentralized control, and collaboration across heterogeneous components and environments, validated through extensive field deployment.

Contribution

It extends modular robotics to software, communication, and orchestration, providing a scalable, robust, and open-source framework for complex multi-module robotic systems.

Findings

Validated by months of field deployment with self-assembling robots

Achieved dynamic reconfiguration and decentralized control

Reduced integration and maintenance overhead

Abstract

This paper presents the software architecture and deployment strategy behind the MoonBot platform: a modular space robotic system composed of heterogeneous components distributed across multiple computers, networks and ultimately celestial bodies. We introduce a principled approach to distributed, heterogeneous modularity, extending modular robotics beyond physical reconfiguration to software, communication and orchestration. We detail the architecture of our system that integrates component-based design, a data-oriented communication model using ROS2 and Zenoh, and a deployment orchestrator capable of managing complex multi-module assemblies. These abstractions enable dynamic reconfiguration, decentralized control, and seamless collaboration between numerous operators and modules. At the heart of this system lies our open-source Motion Stack software, validated by months of field deployment with self-assembling robots, inter-robot cooperation, and remote operation. Our architecture tackles the significant hurdles of modular robotics by significantly reducing integration and maintenance overhead, while remaining scalable and robust. Although tested with space in mind, we propose generalizable patterns for designing robotic systems that must scale across time, hardware, teams and operational environments.