Neural Fields for Controlling Formation of Multiple Robots

In this paper we investigate how neural fields can produce an elegant solution for the problem of moving multiple robots in formation. The objective is to acquire a target, avoid obstacles and keep a geometric configuration at the same time. Several formations for a team of three robots are considered.

[1]  Frank Joublin,et al.  A Neural Field Approach to Robot Motion , 1998 .

[2]  Martin Nilsson,et al.  Cooperative multi-robot box-pushing , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[3]  A. Steinhage,et al.  The dynamic approach to autonomous robot navigation , 1997, ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics.

[4]  Michael Schanz,et al.  NEURAL FIELDS FOR BEHAVIOR-BASED CONTROL OF MOBILE ROBOTS , 2006 .

[5]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[6]  Gregor Schöner,et al.  Self-calibration based on invariant view recognition: Dynamic approach to navigation , 1997, Robotics Auton. Syst..

[7]  S. Amari Dynamics of pattern formation in lateral-inhibition type neural fields , 1977, Biological Cybernetics.

[8]  W. von Seelen,et al.  Application and optimization of neural field dynamics for driver assistance , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[9]  Gregor Schöner,et al.  Dynamics of behavior: Theory and applications for autonomous robot architectures , 1995, Robotics Auton. Syst..

[10]  S. Goldenstein Nonlinear Dynamic Systems for Autonomous Agents Navigation , 2002 .

[11]  Martin A. Giese Neural field model for the recognition of biological motion patterns , 2000 .

[12]  Sergio Monteiro,et al.  A dynamical systems approach to behavior-based formation control , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[13]  Vijay Kumar,et al.  Modeling and control of formations of nonholonomic mobile robots , 2001, IEEE Trans. Robotics Autom..