Automation and robotics have been widely applied in many agricultural operations;
however, the production operations of apple trees are usually performed manually. Pruning …

This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

In unstructured orchard environments, picking a target fruit without colliding with neighboring
branches is a significant challenge for guava-harvesting robots. This paper introduces a fast …

In unstructured environments, harvesting robots may collide with disorderly growing
branches, thus reducing the success rate of harvesting. This study introduces a fruit and …

Purpose This paper aims to resolve issues of the traditional artificial potential field method,
such as falling into local minima, low success rate and lack of ability to sense the obstacle …

To improve the processing efficiency of apple picking robots, we have developed a rapid
apple recognition and tracking method based on an improved version of the YOLOv5 …

Aiming to realize the obstacle avoidance of the fruit tree pruning manipulator in unstructured
complex natural environment, an improved bidirectional fast extended random tree (RRT …

Modern robotics has made great strides in the field of agricultural harvesting. In the field of
rubber tapping, however, there are still significant challenges to be faced. As one of the few …

The artificial potential field method is a highly popular obstacle avoidance algorithm which is
widely used in the field of industrial robotics due to its high efficiency. However, the …

A series-parallel hybrid banana-harvesting robot was previously developed to pick bananas,
with inverse kinematics intractable to an address. This paper investigates a deep …