Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7468
Title: Single View Depth Estimation Based Formation Control of Robotic Swarms: Obstacle Avoidance, Simulation, and Practical Issues
Authors: Zhai, Shaohao
Fidan, Barış
Öztürk, Şadi Çağatay
Gazi, Veysel
Keywords: [No Keywords]
Publisher: IEEE
Source: 16th Mediterranean Conference on Control and Automation -- JUN 25-27, 2008 -- Ajaccio, FRANCE
Series/Report no.: Mediterranean Conference on Control and Automation
Abstract: In a companion paper we have presented a practical formation motion control scheme for robotic swarms based on single view depth estimation. In this paper we adapt this control scheme to the cases where there are obstacles to be avoided in the region of interest. First, a set of distributed control laws for the agents, to be incorporated with depth (distance) estimation scheme, are introduced to move the formation from an arbitrary initial position to an arbitrary final position without deforming the formation shape or having a collision with an obstacle. Then, we present simulation results on formation control using the proposed control scheme for both obstacle free and with obstacle cases. We later discuss certain practical issues regarding the proposed scheme. The robots do not have any global positioning sensors, and they do not communicate with each other. The performance of the overall system as well as the effects of delay and quantization in estimation of distance are analyzed via simulations.
URI: https://hdl.handle.net/20.500.11851/7468
ISBN: 978-1-4244-2504-4
ISSN: 2325-369X
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

46
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.