Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments

Date

2022-09-10

Author

ÖNÜR, GİRAY
Turgut, Ali Emre
Şahin, Erol

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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URI

https://hdl.handle.net/11511/99045

Conference Name

13th International Conference on Swarm Intelligence: ANTS 2022

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Department of Mechanical Engineering, Conference / Seminar

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Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments Önür, Giray; Turgut, Ali Emre; Şahin, Erol (2022-09-10) Flocking, coordinated movement of individuals, widely observed in animal societies, and it is commonly used to guide robot swarms in cluttered environments. In standard flocking models, robot swarms often use local interactions between the robots and obstacles to achieve safe collective motion using virtual forces. However, these models generally involve parameters that must be tuned specifically to the environmental layout to avoid collisions. In this paper, we propose a predictive flocking model that can ...
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Citation Formats

G. ÖNÜR, A. E. Turgut, and E. Şahin, “Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments,” presented at the 13th International Conference on Swarm Intelligence: ANTS 2022, Malaga, İspanya, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99045.