A bearing-only control law for stable docking of unicycles

This paper proposes a new control method for stabilising control design for docking unicycle-like vehicles based on bearing-only information. An omni-directional panoramic camera is used to detect visual targets around the docking station and provides bearing (or heading) data for each observed landmark. The convergence of the controlled system is fully analysed and simulations are provided to demonstrate the ideal behaviour of the system. A robust and computationally cheap blob detection algorithm is proposed and results are provided to demonstrate its performance in extracting targets from cluttered scenes. Experimental results are presented demonstrating the performance of the algorithm on the ANU Nomadic Technologies Nomad XR4000 robot.

[1]  Reiner Lenz,et al.  On Color Edge Detection , 2000, PICS.

[2]  Robert E. Mahony,et al.  Visual servoing of an under-actuated dynamic rigid-body system: an image-based approach , 2002, IEEE Trans. Robotics Autom..

[3]  Trevor Darrell,et al.  Integrated Person Tracking Using Stereo, Color, and Pattern Detection , 2000, International Journal of Computer Vision.

[4]  Lawrence H. Staib,et al.  The image processing handbook, 2nd edition J. C. Russ , 1998, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

[5]  Ilya Kolmanovsky,et al.  Developments in nonholonomic control problems , 1995 .

[6]  R. Pfeifer,et al.  A mobile robot employing insect strategies for navigation , 2000, Robotics Auton. Syst..

[7]  Trevor Darrell,et al.  Integrated Person Tracking Using Stereo, Color, and Pattern Detection , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[8]  M. Srinivasan,et al.  Range estimation with a panoramic visual sensor , 1997 .

[9]  John C. Russ,et al.  The Image Processing Handbook , 2016, Microscopy and Microanalysis.

[10]  S. Shankar Sastry,et al.  Vision guided navigation for a nonholonomic mobile robot , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[11]  Terrence Fong,et al.  Vision-based sensor fusion for human-computer interaction , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  O. J. Sordalen,et al.  Exponential stabilization of mobile robots with nonholonomic constraints , 1992 .

[13]  Tarek Hamel,et al.  Robust visual servoing for under-actuated dynamic systems , 2000, CDC 2000.

[14]  Peter I. Corke,et al.  Visual servoing of a car-like vehicle - an application of omnidirectional vision , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[15]  Jiri Matas,et al.  On representation and matching of multi-coloured objects , 1995, Proceedings of IEEE International Conference on Computer Vision.

[16]  Guner S. Robinson.  Color Edge Detection , 1977 .

[17]  Antonio Bicchi,et al.  Closed loop steering of unicycle like vehicles via Lyapunov techniques , 1995, IEEE Robotics Autom. Mag..

[18]  Tim Ellis,et al.  Tracking using colour information , 1994 .