This paper presents a method of implementing real-time apple detection for closed-loop control to approach apples for grabbing. The approach is to train two known real-time object detection networks–the Faster R-CNN and YOLOv5–on a novel dataset to verify that it is possible to achieve maximum average precision (mAP) above 50\%...
This thesis describes an automated method to estimate tree trunk width in a commer-cial apple orchard. Trunk cross sectional area, which is an important consideration with regards to nutrient uptake, is a feature being integrated in a decision support system for precision Nitrogen management. The data used to generate the...
Recently there has been a large amount of research into basic human movement as a baseline for robotic motion. Robotic grasping is a challenging problem for a number of reasons. One of which is that it is difficult to accurately know the interaction between the hand and the object, especially...