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Fruit Classification Utilizing a Robotic Gripper with Integrated Sensors and Adaptive Grasping
2021
Mathematical Problems in Engineering
As the core component of agricultural robots, robotic grippers are widely used for plucking, picking, and harvesting fruits and vegetables. Secure grasping is a severe challenge in agricultural applications because of the variation in the shape and hardness of agricultural products during maturation, as well as their variety and delicacy. In this study, a fruit identification method utilizing an adaptive gripper with tactile sensing and machine learning algorithms is reported. An adaptive
doi:10.1155/2021/7157763
fatcat:3mwygoaicfhjdjqxseesswstbe