ICUAS'17 Paper Abstract

Close

Paper ThA2.3

Devi, Amrita (Fiji National University), Vanualailai, Jito (University of the South Pacific), Kumar, Sandeep Ameet (Fiji National University), sharma, Bibhya (University of the South Pacific)

A Cohesive and Well-Spaced Swarm with Application to Unmanned Aerial Vehicles

Scheduled for presentation during the "Path Planning - IV" (ThA2), Thursday, June 15, 2017, 10:40−11:00, Salon AB

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on July 22, 2019

Keywords Path Planning, Swarms, Simulation

Abstract

In swarm robotics, the self-organization of multi-agent systems which consists of a number of comparatively simple agents is an approach inspired from natural swarms. In this paper, we solve the findpath problem of $ninmathbb{N}$ agents using the principle of swarming. A Lagrangian swarm model which could navigate in a cluttered configuration space is developed. A Lyapunov like function is constructed from which the velocity controllers are derived. The Lyapunov-like function contains attractive and repulsive components. The swarm model is simulated for verification of its functionality and intuitive insight into the system behavior suggest that the solutions are bounded about the centroid. We show that indeed the solutions are bounded about the centroid by showing the wellspacedness and cohesivenss of the swarm. The velocity controllers are then applied to swarm of unmanned aerial vehicles.

 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2019 PaperCept, Inc.
Page generated 2019-07-22  14:31:56 PST  Terms of use