The Application and Future Advancement of Agricultural Harvesting Robot Technology
Main Article Content
Keywords
agricultural harvesting robots, intelligent perception, deep learning, flexible manipulation, smart agriculture
Abstract
Against the trend of a reduction in agricultural labour and the scale of development of intelligent agricultural machinery, the traditional way of harvesting by hand is often ineffective and costly. The agricultural harvesting robot, endowed with technologies such as machine vision, deep learning, intelligent control, flexible manipulation, is the technical means of the intelligence automation harvesting of fruit and vegetables. In recent years, with the progress of multi-sensor fusion and three-dimensional visual perception technologies, harvesting robots' performance of the recognition of targets, positioning and grasping stability have been greatly improved. The harvesting robot has been preliminarily applied in harvesting crops such as tomatoes, strawberries and apples. In this paper, the development of agricultural harvesting robot is introduced and focused on its technical problems such as fruit recognition and fruit localization, path planning and flexible grasping. It also summarizes existing challenges, such as limited environmental flexibility and high cost, and provides insights into future trends of development.
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