[2607.13444] Stress-Sharing for Decentralized Fault Repair in Modular Spacecraft
Skip to main content
Search arXiv
Press Enter to search · Advanced search
-->
Computer Science > Robotics
arXiv:2607.13444 (cs)
[Submitted on 15 Jul 2026 (v1), last revised 21 Jul 2026 (this version, v2)]
Title:Stress-Sharing for Decentralized Fault Repair in Modular Spacecraft
Authors:Sidhdharth D. Sikka, Yue Shen, Shaoshuai Mou<br>View a PDF of the paper titled Stress-Sharing for Decentralized Fault Repair in Modular Spacecraft, by Sidhdharth D. Sikka and 2 other authors
View PDF<br>HTML (experimental)
Abstract:Structural damage in modular spacecraft can disrupt mechanical and communication connectivity, reducing system capability. Existing approaches rely on redundancy or preplanned reconfiguration and do not enable autonomous repair under local information and physical constraints. We model the spacecraft as a lattice-constrained graph and introduce a fully decentralized, asynchronous stress-sharing repair policy inspired by biological wound healing: local distress signals guide surviving modules toward damaged regions to close fragmented gaps, after which each displaced module locally retraces its own motions to recover the pre-damage shape, using only local information and no absolute position sensing. We evaluate the policy in PyBullet rigid-body simulation across structures of up to 160 modules, three fault densities (10, 20, 30%), and random and localized damage. The policy consolidates the surviving modules into a single connected body: even in the most severe case tested, where 30% of modules fail at random, it gathers roughly 80% or more of the surviving modules into one connected component, and this fraction improves with assembly size, making the approach well suited as a swarm-scale repair policy for large modular spacecraft.
Comments:<br>6 pages, 3 figures. Submitted to the IEEE Robotics and Automation Letters
Subjects:
Robotics (cs.RO); Multiagent Systems (cs.MA); Systems and Control (eess.SY)
Cite as:<br>arXiv:2607.13444 [cs.RO]
(or<br>arXiv:2607.13444v2 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2607.13444
Focus to learn more
arXiv-issued DOI via DataCite
Submission history<br>From: Sidhdharth Sikka [view email]<br>[v1]<br>Wed, 15 Jul 2026 05:02:00 UTC (2,533 KB)
[v2]<br>Tue, 21 Jul 2026 23:32:51 UTC (1,408 KB)
Full-text links:<br>Access Paper:
View a PDF of the paper titled Stress-Sharing for Decentralized Fault Repair in Modular Spacecraft, by Sidhdharth D. Sikka and 2 other authors<br>View PDF<br>HTML (experimental)<br>TeX Source
view license
Current browse context:
cs.RO
next >
new<br>recent<br>| 2026-07
Change to browse by:
cs<br>cs.MA<br>cs.SY<br>eess<br>eess.SY
References & Citations
NASA ADS<br>Google Scholar
Semantic Scholar
export BibTeX citation<br>Loading...
BibTeX formatted citation
×
loading...
Data provided by:
Bookmark
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Code, Data and Media Associated with this Article
alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos
Demos
Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers
Recommenders and Search Tools
Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
Author
Venue
Institution
Topic
About arXivLabs
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .
Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)
Major funding support from