Mobile robot vision-based navigation using self-organizing and incremental neural networks

A new approach for vision-based navigation in mobile robots is presented. Instead of incremental spectral clustering (ISC), which is considered state-of-the-art, the method of self-organizing incremental neural networks (SOINN) is used for visual space clustering. Using SOINN, the number of nodes in the topological map matches well with the environment. The time used for incremental map building is markedly less than that used for ISC. Furthermore, the rate of single image classification is higher than that of ISC.

[1]  Marina Meila,et al.  A Comparison of Spectral Clustering Algorithms , 2003 .

[2]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[3]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[4]  Shen Furao,et al.  An incremental network for on-line unsupervised classification and topology learning , 2006, Neural Networks.

[5]  Tom Duckett,et al.  Incremental Spectral Clustering and Its Application To Topological Mapping , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[6]  Achim J. Lilienthal,et al.  Incremental spectral clustering and seasons: Appearance-based localization in outdoor environments , 2008, 2008 IEEE International Conference on Robotics and Automation.

[7]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[8]  Luc Van Gool,et al.  Omnidirectional Vision Based Topological Navigation , 2007, International Journal of Computer Vision.

[9]  Olivier Michel,et al.  Cyberbotics Ltd. Webots™: Professional Mobile Robot Simulation , 2004, ArXiv.

[10]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[11]  Roland Siegwart,et al.  Incremental robot mapping with fingerprints of places , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Gregory Z. Grudic,et al.  Topological Mapping with Multiple Visual Manifolds , 2005, Robotics: Science and Systems.

[13]  Olivier Michel,et al.  Webots: Symbiosis Between Virtual and Real Mobile Robots , 1998, Virtual Worlds.

[14]  James J. Little,et al.  Vision-based global localization and mapping for mobile robots , 2005, IEEE Transactions on Robotics.