Control of Self-Organizing Formations Autonomous Agents using Velocity Potential Fields for Material Transfer

Mobile robot formations differ in accordance to the mission, environment and robot abilities. In the case of decentralized control, the ability to achieve the shapes of these formations needs to be built in the controllers of each autonomous robot. In this paper is investigated self-organizing formations control for material transfer, as an alternative to Automatic Guided Vehicles (AGVs). Leader-follower approach is applied for controllers design to drive the robots toward the goal. The results confirm the ability of velocity potential approach for motion control of both self-organizing formations.

[1]  Mohammad Eghtesad,et al.  Study of the internal dynamics of an autonomous mobile robot , 2006, Robotics Auton. Syst..

[2]  Petter Ögren,et al.  A convergent dynamic window approach to obstacle avoidance , 2005, IEEE Transactions on Robotics.

[3]  Peng Song,et al.  Coordination of Robot Teams: A Decentralized Approach , 2006 .

[4]  Giuseppe Oriolo,et al.  Local incremental planning for a car-like robot navigating among obstacles , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[5]  Dusan M. Stipanovic,et al.  Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments , 2008, Int. J. Robotics Res..

[6]  Gianluca Antonelli,et al.  Experiments of Formation Control With Multirobot Systems Using the Null-Space-Based Behavioral Control , 2009, IEEE Transactions on Control Systems Technology.

[7]  D.M. Bevly,et al.  Harmonic potential field path planning for high speed vehicles , 2008, 2008 American Control Conference.

[8]  Drago Matko,et al.  Wheeled Mobile Robots Control in a Linear Platoon , 2009, J. Intell. Robotic Syst..

[9]  Farbod Fahimi,et al.  Real-time obstacle avoidance for multiple mobile robots , 2009, Robotica.

[10]  Jurek Z. Sasiadek,et al.  Decentralized Control of Autonomous Mobile Robots Formations using Velocity Potentials , 2012 .

[11]  Ricardo Carelli,et al.  Stable contour-following control of wheeled mobile robots , 2009, Robotica.

[12]  Vijay Kumar,et al.  Controlling Shapes of Ensembles of Robots of Finite Size with Nonholonomic Constraints , 2008, Robotics: Science and Systems.

[13]  Nathan Michael,et al.  Vision-Based, Distributed Control Laws for Motion Coordination of Nonholonomic Robots , 2009, IEEE Transactions on Robotics.

[14]  Vijay Kumar,et al.  Controlling formations of multiple mobile robots , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[15]  Jerzy Sasiadek,et al.  Control of nonholonomic autonomous vehicles and their formations , 2010, 2010 15th International Conference on Methods and Models in Automation and Robotics.

[16]  Vijay Kumar,et al.  Cooperative Control of Robot Formations , 2002 .

[17]  Lingqi Zeng,et al.  Collision avoidance for nonholonomic mobile robots among unpredictable dynamic obstacles including humans , 2010, 2010 IEEE International Conference on Automation Science and Engineering.

[18]  Jizhong Xiao,et al.  Robot Formation Control in Leader-Follower Motion Using Direct Lyapunov Method , 2005 .