Shape recognition and orientation detection for industrial applications using ultrasonic sensors

This paper deals with a method for recognizing the form and orientation of pieces. This system uses a single pair of ultrasonic sensors to distinguish different objects and their orientations, for a set of previously learned objects. This technique utilizes the feature that small variations of position produce small variations in the value of the echo envelope parameters characterizing the ultrasonic signal. Then, neural nets are applied to learn and retrieve the necessary data in order to obtain the real position of the object. Several NN structures have been tested in order to find those that provide the best results. This system has been evaluated with symmetrical geometrical figures. Subsequently, the application was utilized in a robotic system.

[1]  E. G. Sarabia,et al.  Three Dimensional Ultrasonic Vision of Surfaces for Robotic Applications , 1998 .

[2]  E. G. Sarabia,et al.  Short Distance Ultrasonic Vision for Mobile Robots , 1998 .

[3]  W. E. Lawrie,et al.  Ultrasonic testing of materials: 2nd English Edition, translated from the 3rd German Edition, J. & H. Krautkrämer Springer-Verlag, Berlin, Heidelberg, New York (1977) 667 pp, $65.20, DM 148 , 1978 .

[4]  J.M. Perez Oria,et al.  Object recognition using ultrasonic sensors in robotic applications , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[5]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1993 .

[6]  José R. Llata García,et al.  Probabilistic expert systems for shape recognition applied to ultrasonics techniques , 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.