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Robotic and Structured Light Imaging Technologies for Harvesting and Defect Detection of Apples

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July 17, 2024 - Renfu Lu<renfu.lu@usda.gov>, USDA-ARS and Michigan State University

The benefits of and prospects for orchard automation are discussed as related to labor cost and availability. Recent advances in technologies for robotic harvesting are compared and the advances made at the Michigan State program are described. Advances include: 1. A new perception module for accurate fruit detection and localization, 2. A dual-arm manipulator with a common perception module and a centralized vacuum system to enhance harvest efficiency and cost effectiveness, 3. A soft end effector coupled with vacuum to enable quick and gentle picking of apples, and 4. Planning and control algorithms for effective coordination of two robot arms for apple harvesting.

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Tag List
  • agriculture,
  • apples,
  • fruit & nuts,
  • msu extension

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