Localization of spherical fruits for robotic harvesting

Abstract. The orange picking robot (OPR) is a project for developing a robot that is able to harvest oranges automatically. One of the key tasks in this robotic application is to identify the fruit and to measure its location in three dimensions. This should be performed using image processing techniques which must be sufficiently robust to cope with variations in lighting conditions and a changing environment. This paper describes the image processing system developed so far to guide automatic harvesting of oranges, which here has been integrated in the first complete full-scale prototype OPR.

[1]  M. Recce,et al.  Vision and neural control for an orange harvesting robot , 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.

[2]  R. C. Harrell Economic Analysis of Robotic Citrus Harvesting in Florida , 1987 .

[3]  R. D. Tillett,et al.  Image analysis for agricultural processes: a review of potential opportunities , 1991 .

[4]  D. E. Rumelhart,et al.  Learning internal representations by back-propagating errors , 1986 .

[5]  David C. Slaughter,et al.  Color Vision in Robotic Fruit Harvesting , 1987 .

[6]  David C. Slaughter,et al.  Discriminating Fruit for Robotic Harvest Using Color in Natural Outdoor Scenes , 1989 .

[7]  Filiberto Pla,et al.  Vision systems for the location of citrus fruit in a tree canopy , 1992 .

[8]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Alessio Plebe,et al.  A Neural-Network-Based Approach to the Double Traveling Salesman Problem , 2002, Neural Computation.

[10]  N Kondo,et al.  Fruit harvesting robots in Japan. , 1996, Advances in space research : the official journal of the Committee on Space Research.

[11]  Jake K. Aggarwal,et al.  Mobile robot navigation and scene modeling using stereo fish-eye lens system , 1997, Machine Vision and Applications.

[12]  Yoav Sarig,et al.  Robotics of Fruit Harvesting: A State-of-the-art Review , 1993 .

[13]  Uri Ben-Hanan,et al.  Classification of fruits by a boltzmann perceptron neural network , 1992, Autom..

[14]  R. D. Tillett,et al.  Development of a Vision Guided Robot Manipulator for Packing Horticultural Produce , 1995 .