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Robot-assisted fruit harvesting has been a critical research direction supporting sustainable crop production. One important determinant of system behavior and efficiency is the end-effector that comes in direct contact with the crop during…

机器人学 · 计算机科学 2024-07-03 Jingzong Zhou , Xiaoao Song , Konstantinos Karydis

Most existing robotic harvesters utilize a unimanual approach; a single arm grasps the crop and detaches it, either via a detachment movement, or by cutting its stem with a specially designed gripper/cutter end-effector. However, such…

机器人学 · 计算机科学 2022-09-14 Sotiris Stavridis , Dimitrios Papageorgiou , Leonidas Droukas , Zoe Doulgeri

Interest in agricultural robotics has increased considerably in recent years due to benefits such as improvement in productivity and labor reduction. However, current problems associated with unstructured environments make the development…

机器人学 · 计算机科学 2023-06-19 Ege Gursoy , Benjamin Navarro , Akansel Cosgun , Dana Kulić , Andrea Cherubini

Apples are among the most widely consumed fruits worldwide. Currently, apple harvesting fully relies on manual labor, which is costly, drudging, and hazardous to workers. Hence, robotic harvesting has attracted increasing attention in…

This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority…

This paper addresses the challenge of developing a multi-arm quadrupedal robot capable of efficiently harvesting fruit in complex, natural environments. To overcome the inherent limitations of traditional bimanual manipulation, we introduce…

机器人学 · 计算机科学 2025-05-14 Zhichao Liu , Jingzong Zhou , Konstantinos Karydis

Current agriculture and farming industries are able to reap advancements in robotics and automation technology to harvest fruits and vegetables using robots with adaptive grasping forces based on the compliance or softness of the fruit or…

机器人学 · 计算机科学 2024-12-24 Shahid Ansari , Mahendra Kumar Gohil , Bishakh Bhattacharya

This paper presents an autonomous tomato-harvesting system built around a hybrid robotic gripper that combines six soft auxetic fingers with a rigid exoskeleton and a latex basket to achieve gentle, cage-like grasping. The gripper is driven…

机器人学 · 计算机科学 2025-12-04 Shahid Ansari , Mahendra Kumar Gohil , Yusuke Maeda , Bishakh Bhattacharya

Contemporary robots in precision agriculture focus primarily on automated harvesting or remote sensing to monitor crop health. Comparatively less work has been performed with respect to collecting physical leaf samples in the field and…

机器人学 · 计算机科学 2022-08-11 Merrick Campbell , Amel Dechemi , Konstantinos Karydis

In the robotic crop harvesting environment, foreign objects intrusion in the gripper workspace is frequently occurring and unignorable, however, rarely addressed. This paper presents a novel intelligent robotic grasping method capable of…

机器人学 · 计算机科学 2021-10-19 Hongyu Zhou , Xing Wang , Hanwen Kang , Chao Chen

There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harvesting, this paper presents synergistic mechatronic design…

机器人学 · 计算机科学 2020-10-23 Kaixiang Zhang , Kyle Lammers , Pengyu Chu , Zhaojian Li , Renfu Lu

Agricultural robotics has emerged as a critical solution to the labor shortages and rising costs associated with manual crop harvesting. Bell pepper harvesting, in particular, is a labor-intensive task, accounting for up to 50% of total…

In this research, a fully neural network based visual perception framework for autonomous apple harvesting is proposed. The proposed framework includes a multi-function neural network for fruit recognition and a Pointnet grasp estimation to…

计算机视觉与模式识别 · 计算机科学 2021-12-09 Hanwen Kang , Chao Chen

The agricultural sector is rapidly evolving to meet growing global food demands, yet tasks like fruit and vegetable handling remain labor-intensive, causing inefficiencies and post-harvest losses. Automation, particularly selective…

机器人学 · 计算机科学 2025-10-14 Shahid Ansari , Vivek Gupta , Bishakh Bhattacharya

Selective fruit harvesting is a challenging manipulation problem due to occlusions and clutter arising from plant foliage. A harvesting gripper should i) have a small cross-section, to avoid collisions while approaching the fruit; ii) have…

机器人学 · 计算机科学 2024-08-14 Alejandro Velasquez , Cindy Grimm , Joseph R. Davidson

Due to labor shortage and rising labor cost for the apple industry, there is an urgent need for the development of robotic systems to efficiently and autonomously harvest apples. In this paper, we present a system overview and algorithm…

机器人学 · 计算机科学 2022-11-08 Kaixiang Zhang , Kyle Lammers , Pengyu Chu , Nathan Dickinson , Zhaojian Li , Renfu Lu

This paper presents multi-vision-based localisation strategies for harvesting robots. Identifying picking points accurately is essential for robotic harvesting because insecure grasping can lead to economic loss through fruit damage and…

机器人学 · 计算机科学 2025-02-19 C. Beldek , A. Dunn , J. Cunningham , E. Sariyildiz , S. L. Phung , G. Alici

Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers…

机器人学 · 计算机科学 2021-11-22 Chen Peng

Currently, truss tomato weighing and packaging require significant manual work. The main obstacle to automation lies in the difficulty of developing a reliable robotic grasping system for already harvested trusses. We propose a method to…

机器人学 · 计算机科学 2025-02-13 Luuk van den Bent , Tomás Coleman , Robert Babuška

Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers…

机器人学 · 计算机科学 2023-02-28 Chen Peng , Stavros Vougioukas , David Slaughter , Zhenghao Fei , Rajkishan Arikapudi
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