ModCube: Modular, Self-Assembling Cubic Underwater Robot

📅 2024-09-24
🏛️ arXiv.org
📈 Citations: 0
Influential: 0
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🤖 AI Summary
Existing underwater robots suffer from high cost, fixed configurations, and limited capability for collaborative multi-directional task execution. Method: This paper proposes a low-cost, centrally controlled cubic modular underwater robot platform featuring eight thrusters for full six-degree-of-freedom omnidirectional motion, integrated embedded electromagnetic rigid coupling mechanisms, and autonomous assembly control algorithms enabling dynamic multi-robot self-assembly. Contribution/Results: We introduce a novel dynamic behavioral characterization and visualization framework, establish four morphological performance benchmarks, and empirically demonstrate that the cubic configuration outperforms conventional ROV layouts in omnidirectional maneuverability. The system achieves stable closed-loop control and reliable multi-robot assembly in dual-tank experiments. All hardware designs, firmware, simulation frameworks, and algorithmic source code are fully open-sourced, providing a reproducible, extensible open benchmark platform for research on underwater swarm coordination.

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Application Category

📝 Abstract
This paper presents a low-cost, centralized modular underwater robot platform, ModCube, which can be used to study swarm coordination for a wide range of tasks in underwater environments. A ModCube structure consists of multiple ModCube robots. Each robot can move in six DoF with eight thrusters and can be rigidly connected to other ModCube robots with an electromagnet controlled by onboard computer. In this paper, we present a novel method for characterizing and visualizing dynamic behavior, along with four benchmarks to evaluate the morphological performance of the robot. Analysis shows that our ModCube design is desirable for omnidirectional tasks, compared with the configurations widely used by commercial underwater robots. We run real robot experiments in two water tanks to demonstrate the robust control and self-assemble of the proposed system, We also open-source the design and code to facilitate future research.
Problem

Research questions and friction points this paper is trying to address.

Underwater Robotics
Cost-effectiveness
Modular Assembly
Innovation

Methods, ideas, or system contributions that make the work stand out.

Modular Design
Electromagnetic Coupling
Movement Visualization
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Robotics Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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