DocumentCode
1817482
Title
Collinear formation control of autonomous robots to move towards a target using artificial force fields
Author
Dang, Anh Duc ; Horn, Joachim
Author_Institution
Inst. of Control Eng., Univ. of the Fed. Armed Forces Hamburg, Hamburg, Germany
fYear
2015
fDate
11-12 May 2015
Firstpage
1
Lastpage
6
Abstract
In this paper, we propose a novel approach to control autonomous robots to achieve a desired linear formation during movement towards the target position. Firstly, one robot, which has the closest distance to the target, is selected as the leader of the swarm. The desired formation is built based on the relative position between this leader and the target. Secondly, the trajectory of the remaining robots towards the optimal positions in the desired formation is driven by the artificial force fields. These force fields consist of the local and global attractive potential fields surrounding each virtual node in the desired formation. Furthermore, an orientation controller is added in order to guarantee that the desired formation is always headed in the invariant direction to the target position. In addition, the local repulsive force fields around each robot and obstacle are employed in order to avoid collisions during movement. The stability of a swarm following a desired collinear formation in invariant direction towards the target is verified in simulations and experiments.
Keywords
collision avoidance; mobile robots; motion control; multi-robot systems; optimal control; stability; trajectory control; artificial force fields; autonomous robots; collinear formation control; collisions avoidance; global attractive potential fields; local attractive potential fields; local repulsive force fields; obstacle; optimal positions; orientation controller; relative position; robots trajectory; stability; swarm leader; target position movement; virtual node; Collision avoidance; Force; Robot kinematics; Simulation; Stability analysis; Trajectory; Formation control; artificial vector fields; collision avoidance; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on
Conference_Location
Woburn, MA
Type
conf
DOI
10.1109/TePRA.2015.7219698
Filename
7219698
Link To Document