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Localization and follow-the-leader c...

Huang, Jiangyang.

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Localization and follow-the-leader control of a heterogeneous group of mobile robots.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Localization and follow-the-leader control of a heterogeneous group of mobile robots./
Author:	Huang, Jiangyang.
Description:	126 p.
Notes:	Adviser: Shane Farritor.
Contained By:	Dissertation Abstracts International68-02B.
Subject:	Engineering, Mechanical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252837

Localization and follow-the-leader control of a heterogeneous group of mobile robots.
Huang, Jiangyang.

Localization and follow-the-leader control of a heterogeneous group of mobile robots. - 126 p.

Adviser: Shane Farritor.

Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2007.

Most investigations of multi-robot cooperative control involve groups of robots with similar capabilities. It is often desirable to have a heterogeneous group of mobile robots with dramatically different onboard sensing, control and computation. This work investigates the control and localization of a heterogeneous (e.g. different sensing, mechanical, computational capabilities) group of mobile robots in which several inexpensive sensor-limited and computationally-limited robots follow a leader with a desired geometric formation. Specifically, the robots in this work are designed for highway safety applications where they automatically deploy and maneuver safety barrels commonly used to control traffic in highway work zones. Complex sensing and computation are performed by the leader, while the followers only perform simple operations under the leader's guidance. The main challenge is that the followers are sensor-limited and do not have the capabilities of localization and navigation. This work presents two approaches to address the localization and follow-the-leader control for this heterogeneous robot team.Subjects--Topical Terms:

783786
Engineering, Mechanical.

Localization and follow-the-leader control of a heterogeneous group of mobile robots.
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005 20110901
008 110901s2007 eng d
035 $a (UMI)AAI3252837
035 $a AAI3252837
040 $a UMI $c UMI
100 1 $a Huang, Jiangyang. $3 1287363
245 1 0 $a Localization and follow-the-leader control of a heterogeneous group of mobile robots.
300 $a 126 p.
500 $a Adviser: Shane Farritor.
500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 1252.
502 $a Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2007.
520 $a Most investigations of multi-robot cooperative control involve groups of robots with similar capabilities. It is often desirable to have a heterogeneous group of mobile robots with dramatically different onboard sensing, control and computation. This work investigates the control and localization of a heterogeneous (e.g. different sensing, mechanical, computational capabilities) group of mobile robots in which several inexpensive sensor-limited and computationally-limited robots follow a leader with a desired geometric formation. Specifically, the robots in this work are designed for highway safety applications where they automatically deploy and maneuver safety barrels commonly used to control traffic in highway work zones. Complex sensing and computation are performed by the leader, while the followers only perform simple operations under the leader's guidance. The main challenge is that the followers are sensor-limited and do not have the capabilities of localization and navigation. This work presents two approaches to address the localization and follow-the-leader control for this heterogeneous robot team.
520 $a One method uses the global localization and Bezier trajectory based following control. The global localization uses a least squares tracking method to approximate a cubic function of the follower's recent Bezier trajectory, and obtains its global orientation by differentiating the approximated function. Statistical simulations are conducted to choose the appropriate distance between two tracking positions, and analyze the lower bound of the arc radii such that the least squares estimation can work efficiently. A simple Bezier trajectory based following mechanism is also developed to enable a group of follower robots to follow the leader. The global localization and following control method is mathematically simple and easy to implement, and is well suited for long distance navigation.
520 $a A second method is the use of an Extended Kalman Filter to estimate the relative orientation between the leader and the follower. This relative localization method is able to achieve efficient localization in arbitrary motions including short turn motions. Relative localization eliminates the need for expensive global localization systems in all robots, and prevents the localization errors from accumulating over time as they would in traditional dead reckoning. A nonlinear feedback controller is also implemented to control the desired separation and bearing angle between the leader and the follower such that the desired group formation can be maintained. Stability of the formation controller is analyzed. Extensive experiments under indoor and outdoor environments demonstrate the validity of the relative localization and formation control method.
520 $a This work also presents a static fixed-priority real-time model for the leader robot system. Given the number of followers to be controlled, the system schedulability is analyzed with time demand analysis to choose a proper localization period such that all tasks in the leader system can meet their individual deadlines. Furthermore, this work considers actual localization requirement to address the real-time scalability problem, i.e. the maximum number of followers to be controlled given a real-time model with specific temporal parameters. Real-time analysis allows the designer to make better decisions in choosing the number of followers to be controlled by a single leader in large scale robotic applications.
590 $a School code: 0138.
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0548
690 $a 0771
710 2 0 $a The University of Nebraska - Lincoln. $3 1024939
773 0 $t Dissertation Abstracts International $g 68-02B.
790 $a 0138
790 1 0 $a Farritor, Shane, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3252837