Fluid Flow Modeling and Experimental Evaluation of Unscrewed Aerial System Coordination | IEEE Conference Publication | IEEE Xplore

Fluid Flow Modeling and Experimental Evaluation of Unscrewed Aerial System Coordination


Abstract:

Reliability is a critical aspect of multi-agent system coordination as it guarantees the system's accurate and consistent functionality. If one agent in the system fails ...Show More

Abstract:

Reliability is a critical aspect of multi-agent system coordination as it guarantees the system's accurate and consistent functionality. If one agent in the system fails or behaves unexpectedly, it can negatively impact the performance and effectiveness of the entire system. Therefore, it is important to design and implement multi-agent systems with a high level of reliability to ensure that they can operate safely and move smoothly in the presence of unforeseen agent failure or lack of communication with some agent teams moving in a shared motion space. This paper presents a novel navigation model that, in an ideal fluid-flow, divides agents into cooperative (non-singular) and non-cooperative (singular) agents, with cooperative agents sliding along streamlines safely enclosing non-cooperative agents in a shared motion space. A series of flight experiments utilizing crazyflie quadcopters will experimentally validate the suggested model.
Date of Conference: 04-07 June 2024
Date Added to IEEE Xplore: 19 June 2024
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Conference Location: Chania - Crete, Greece

I. Introduction

Robotics research has long drawn inspiration from nature. Researchers have examined how animals move, communicate, and interact with their environments in order to build robots capable of performing similar tasks. Biomimicry, the idea of designing and building technology inspired by nature, has resulted in the development of efficient robots that can adapt in response to their environment. Our inspiration stems from the flow of a fluid around a rock offering a glimpse into how robots can navigate around obstacles in their environments. For example, the principles of fluid dynamics can be applied to the design of a robot's movement, allowing it to move smoothly and efficiently around obstacles.

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