Explanipedia

Occlusion-Aware Harvesting Sequence Planning for Strawberries in Clusters Using Large Language and Vision-Language Models Open

Yuanyue Ge, Quan Zhao, Meili Sun, Hui Zhao, Ya Xiong · 2025

Design and Control of a Novel Six-Degree-of-Freedom Hybrid Robotic Arm Open

Yang Chen, Zhonghua Miao, Yuanyue Ge, S. Lin, Liping Chen , et al. · 2024

Robotic arms are key components in fruit-harvesting robots. In agricultural settings, conventional serial or parallel robotic arms often fall short in meeting the demands for a large workspace, rapid movement, enhanced capability of obstac…

Multi-view gripper internal sensing for the regression of strawberry ripeness using a mini-convolutional neural network for robotic harvesting Open

Yuanyue Ge, Pål Johan From, Ya Xiong · 2023

The capability of robotic fruit-harvesting systems to accurately assess the ripeness of fruits is crucial for fulfilling the diverse standards of the market and the preferences of consumers. Existing studies involving fruit ripeness estima…

Three-dimensional location methods for the vision system of strawberry-harvesting robots: development and comparison Open

Yuanyue Ge, Ya Xiong, Pål Johan From · 2022

For most fruit-harvesting robots, an essential task of the machine vision system is to provide the manipulator with an accurate three-dimensional location of the target. However, the accuracy of this location can be affected by various fac…

An improved obstacle separation method using deep learning for object detection and tracking in a hybrid visual control loop for fruit picking in clusters Open

Ya Xiong, Yuanyue Ge, Pål Johan From · 2021

Selectively picking a target fruit surrounded by obstacles remains a challenge for fruit harvesting robots. This paper presents improvements to the active obstacle separation method for strawberry picking in clusters. A faster and more acc…

Symmetry-based 3D shape completion for fruit localisation for harvesting robots Open

Yuanyue Ge, Ya Xiong, Pål Johan From · 2020

Fruit localisation is a crucial step in developing a robotic fruit-harvesting system. This paper aims to improve the localisation accuracy of fruits in 3D space. In the machine vision system of a harvesting robot, in a single view the visi…

An obstacle separation method for robotic picking of fruits in clusters Open

Ya Xiong, Yuanyue Ge, Pål Johan From · 2020

Selectively picking a target fruit surrounded by obstacles is one of the major challenges for fruit harvesting robots. Different from traditional obstacle avoidance methods, this paper presents an active obstacle separation strategy that c…

Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting Robots Open

Ya Xiong, Yuanyue Ge, Pål Johan From · 2020

Selectively picking a target fruit surrounded by obstacles is one of the major challenges for fruit harvesting robots. Different from traditional obstacle avoidance methods, this paper presents an active obstacle separation strategy that c…

An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation Open

Ya Xiong, Yuanyue Ge, Lars Grimstad, Pål Johan From · 2019

This paper presents an autonomous robot capable of picking strawberries continuously in polytunnels. Robotic harvesting in cluttered and unstructured environment remains a challenge. A novel obstacle‐separation algorithm was proposed to en…

Fruit Localization and Environment Perception for Strawberry Harvesting Robots Open

Yuanyue Ge, Ya Xiong, Gabriel Lins Tenorio, Pål Johan From · 2019

This work presents a machine vision system for the localization of strawberries and environment perception in a strawberry-harvesting robot for use in table-top strawberry production. A deep convolutional neural network for segmentation is…

Instance Segmentation and Localization of Strawberries in Farm Conditions for Automatic Fruit Harvesting Open

Yuanyue Ge, Ya Xiong, Pål Johan From · 2019

Accurate detection and localization of fruits is essential for strawberry harvesting robots. However, segmentation of strawberries in clusters and determination of ripeness remain challenging. Also, occlusions can result in inaccurate loca…

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