Let’s do the swarm flight again: unleashing the potential of PROTEASE 2.0 for drone formation flight

Abstract Drone formation flights, exemplified by performances such as the Intel Drone Shows, demonstrate the advancements and capabilities of current technology. This work revisits the concept of self-organization through swarm behavior for this goal, presenting 2.0 as an advanced approach in this domain. The proposed method facilitates parametrizable swarm behavior at a high level of abstraction. Building upon its predecessor, , it enables the generation of emergent effects through a single, generalized implementation, wherein only the parameters governing individual swarm members need to be adjusted. Leveraging swarm behavior for formation flight offers distinct advantages, including enhanced scalability, robustness, and flexibility. Unlike centrally coordinated approaches, swarm-based methods support the emergence of complex and dynamic formations. Notable formations include parallel swarms interacting with one another, single swarms utilizing multiple reference points to achieve novel flight patterns, and hierarchical swarm structures that further extend the range of possible configurations of swarm behavior. This paper introduces fundamental swarm behaviors that can be realized within the 2.0 framework in detail and explores their composition into more complex formations. The primary focus is the experimental and empirical evaluation of these concepts in simulated environments, including their stabilization properties when facing disturbances. In combination with previous successful pre-evaluations involving real drones it provides a strong foundation for future real-world applications of 2.0.

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Publication Details

Journal
International Journal on Software Tools for Technology Transfer
Published
2025-12-01
DOI
https://doi.org/10.1007/s10009-025-00834-w
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Let’s do the swarm flight again: unleashing the potential of PROTEASE 2.0 for drone formation flight

Wolfgang Reif, Oliver Kosak, Philipp Kastenmüller
1 citations
International Journal on Software Tools for Technology Transfer
Distributed Control Multi-Agent Systems
1.49
article

Let’s do the swarm flight again: unleashing the potential of PROTEASE 2.0 for drone formation flight

Wolfgang Reif, Oliver Kosak, Philipp Kastenmüller
article en
1 citations

Abstract

Abstract Drone formation flights, exemplified by performances such as the Intel Drone Shows, demonstrate the advancements and capabilities of current technology. This work revisits the concept of self-organization through swarm behavior for this goal, presenting 2.0 as an advanced approach in this domain. The proposed method facilitates parametrizable swarm behavior at a high level of abstraction. Building upon its predecessor, , it enables the generation of emergent effects through a single, generalized implementation, wherein only the parameters governing individual swarm members need to be adjusted. Leveraging swarm behavior for formation flight offers distinct advantages, including enhanced scalability, robustness, and flexibility. Unlike centrally coordinated approaches, swarm-based methods support the emergence of complex and dynamic formations. Notable formations include parallel swarms interacting with one another, single swarms utilizing multiple reference points to achieve novel flight patterns, and hierarchical swarm structures that further extend the range of possible configurations of swarm behavior. This paper introduces fundamental swarm behaviors that can be realized within the 2.0 framework in detail and explores their composition into more complex formations. The primary focus is the experimental and empirical evaluation of these concepts in simulated environments, including their stabilization properties when facing disturbances. In combination with previous successful pre-evaluations involving real drones it provides a strong foundation for future real-world applications of 2.0.

International Journal on Software Tools for Technology TransferVol. 27(6)
University of Augsburg (DE)
Openalex Percentile: Top 11%
Distributed Control Multi-Agent Systems
1.49
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