Publications by authors named "Viktor Walter"
Fast collective evasion in self-localized swarms of unmanned aerial vehicles.
Bioinspir Biomim
November 2021
Article Synopsis
- This paper introduces a new technique for unmanned aerial vehicle (UAV) swarms to quickly and safely evade moving threats (interferers) using a method inspired by the natural behaviors of animals like fish and birds.
- The approach relies on decentralized control and limited information from onboard sensors, allowing UAVs to coordinate their movements effectively without overwhelming their communication systems.
- The proposed system has been tested both through simulations and in real-world scenarios, demonstrating its effectiveness in managing the escape of large UAV swarms from potential threats.
This article presents a unique framework for deploying decentralized and infrastructure-independent swarms of homogeneous aerial vehicles in the real world without explicit communication. This is a requirement in swarm research, which anticipates that global knowledge and communication will not scale well with the number of robots. The system architecture proposed in this article employs the UVDAR technique to directly perceive the local neighborhood for direct mutual localization of swarm members.
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