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Phadke et al. Intell Robot 2023;3:453-78 https://dx.doi.org/10.20517/ir.2023.27 Page 473

components.

Researchers have broken down the swarm resiliency problem into smaller parts and aim to address each
component individually. As these are part of an integrated system design, the performance of individual
components often cannot be accurately validated beyond certain thresholds. This results in the linking of
disjoint components during development without incorporating them into a holistic system. The issue of
the lack of a comprehensive resilient swarm mechanism still exists. This study recognizes this research gap
and presents a systematic review of the various novel implementations of resilience in application-specific
scenarios.

DECLARATIONS
Authors’ contributions
Conceptualization, Methodology, Validation, Investigation, original draft writing: Phadke A
Conceptualization, Validation, draft review & editing, supervision: Medrano FA

Availability of data and materials
Not applicable.

Financial support and sponsorship
None.

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2023.

REFERENCES
1. Wang D, Lv H, Wu J. In-flight initial alignment for small UAV MEMS-based navigation via adaptive unscented Kalman filtering
approach. Aerospace Science and Technology 2017;61:73-84. DOI
2. Paredes WD, Kaushal H, Vakilinia I, Prodanoff Z. LoRa technology in flying ad hoc networks: a survey of challenges and open
issues. Sensors 2023;23:2403. DOI PubMed PMC
3. Davoli L, Pagliari E, Ferrari G. Hybrid LoRa-IEEE 802.11s opportunistic mesh networking for flexible UAV swarming. Drones
2021;5:26. DOI
4. Cheng J, Ren P, Deng T. A novel ranging and IMU-Based method for relative positioning of two-MAV formation in GNSS-denied
environments. Sensors 2023;23:4366. DOI PubMed PMC
5. Ortiz-villarejo AJ, Gutiérrez Soler L. A low-cost, easy-way workflow for multi-scale archaeological features detection combining
lidar and aerial orthophotography. Remote Sens 2021;13:4270. DOI
6. Friess C, Niculescu V, Polonelli T, Magno M, Benini L. Fully onboard SLAM for Distributed mapping with a swarm of Nano-
Drones. arXiv 2023:03678. DOI
7. Woods DD. Four concepts for resilience and the implications for the future of resilience engineering. Reliab Eng Syst Safe
2015;141:5-9. DOI
8. Madni AM, Erwin D, Sievers M. Constructing models for systems resilience: challenges, concepts, and formal methods. Systems
2020;8:3. DOI
9. Ordoukhanian E, Madni A. Model-based approach to engineering resilience in multi-UAV systems. Systems 2019;7:11. DOI