Triangle-Decomposable Graphs for Isoperimetric Robots

Isoperimetric robots are large scale, untethered inflatable robots that can undergo large shape changes, but have only been demonstrated in one 3D shape- an octahedron. These robots consist of independent triangles that can change shape while maintaining their perimeter by moving the relative position of their joints. We introduce an optimization routine that determines if an arbitrary graph can be partitioned into unique triangles, and thus be constructed as an isoperimetric robotic system. We enumerate all minimally rigid graphs that can be constructed with unique triangles up to 9 nodes (7 triangles), and characterize the workspace of one node of each these robots. We also present a method for constructing larger graphs that can be partitioned by assembling subgraphs that are already partitioned into triangles. This enables a wide variety of isoperimetric robot configurations.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-10-02
DOI
https://doi.org/10.1109/lra.2025.3617330
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
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article

Triangle-Decomposable Graphs for Isoperimetric Robots

James Usevitch, Nathan S. Usevitch, Isaac Weaver
IEEE Robotics and Automation Letters
Modular Robots and Swarm Intelligence
article

Triangle-Decomposable Graphs for Isoperimetric Robots

James Usevitch, Nathan S. Usevitch, Isaac Weaver
article en

Abstract

Isoperimetric robots are large scale, untethered inflatable robots that can undergo large shape changes, but have only been demonstrated in one 3D shape- an octahedron. These robots consist of independent triangles that can change shape while maintaining their perimeter by moving the relative position of their joints. We introduce an optimization routine that determines if an arbitrary graph can be partitioned into unique triangles, and thus be constructed as an isoperimetric robotic system. We enumerate all minimally rigid graphs that can be constructed with unique triangles up to 9 nodes (7 triangles), and characterize the workspace of one node of each these robots. We also present a method for constructing larger graphs that can be partitioned by assembling subgraphs that are already partitioned into triangles. This enables a wide variety of isoperimetric robot configurations.

IEEE Robotics and Automation LettersVol. 10(12)
Brigham Young University (US)
Openalex Percentile: Top 72%
Modular Robots and Swarm Intelligence
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