首页|New Agricultural Robots Study Findings Have Been Reported by Investigators at Xiangtan University (View Planning for Grape Harvesting Based On Active Vision Strategy Under Occlusion)
New Agricultural Robots Study Findings Have Been Reported by Investigators at Xiangtan University (View Planning for Grape Harvesting Based On Active Vision Strategy Under Occlusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Agriculture - Agricul tural Robots have been presented. According tonews originating from Xiangtan, P eople’s Republic of China, by NewsRx correspondents, research stated,“Replacing humans with robots for fruit harvesting is the trend of agricultural automation in the future.However, for grape harvesting robots, locating the picking point becomes a significant challenge in highlyoccluded environments due to the smal l fruit stem, which can be entirely obscured by fruit leaves whenthe observatio n angle is poor.”Financial support for this research came from Key Project of Guangdong Fundament al and ApplicationFundamental Research Joint Fund.Our news journalists obtained a quote from the research from Xiangtan University , “In the letter, aview planner based on an active vision strategy is proposed to address the occlusion problem. It aims tofind the picking point by altering the observation perspective of the harvesting robot. The view planningprocess i s achieved through multiple iterations. Each iteration consists of three key ste ps: randomlygenerating candidate views, predicting the ideal perspective using a score function, and guiding the roboticarm to change the viewpoint. To evalua te the degree of occlusion, a novel concept of Spatial CoverageRate Metric (SC) is introduced. Based on this, the score function is improved by incorporating S C andmotion cost. Finally, to validate the effectiveness of the planner, we con ducted comparative experimentswith other advanced view planners on a real grape harvesting robot.”
XiangtanPeople’s Republic of ChinaAsiaAgricultural RobotsAgricultureEmerging TechnologiesMachine LearningNano-robotRobotRoboticsXiangtan University
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