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相关论文: Towards vision-based dual arm robotic fruit harves…

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Many automated operations in agriculture, such as weeding and plant counting, require robust and accurate object detectors. Robotic fruit harvesting is one of these, and is an important technology to address the increasing labour shortages…

计算机视觉与模式识别 · 计算机科学 2021-05-11 Jasper Brown , Salah Sukkarieh

The adoption of mobile robotic platforms in complex environments, such as agricultural settings, requires these systems to exhibit a flexible yet effective architecture that integrates perception and control. In such scenarios, several…

机器人学 · 计算机科学 2026-05-13 Jozsef Palmieri , Paolo Di Lillo , Stefano Chiaverini , Alessandro Marino

This paper proposes a novel method to refine the 6D pose estimation inferred by an instance-level deep neural network which processes a single RGB image and that has been trained on synthetic images only. The proposed optimization algorithm…

机器人学 · 计算机科学 2023-05-26 Marco Costanzo , Marco De Simone , Sara Federico , Ciro Natale , Salvatore Pirozzi

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…

机器人学 · 计算机科学 2020-04-21 Ya Xiong , Yuanyue Ge , Pål Johan From

As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agricultural sector. Autonomous robotic systems are one…

Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems perform well in harvesting in uncluttered and structured…

Selective robotic harvesting is a promising technological solution to address labour shortages which are affecting modern agriculture in many parts of the world. For an accurate and efficient picking process, a robotic harvester requires…

计算机视觉与模式识别 · 计算机科学 2023-10-18 Justin Le Louëdec , Grzegorz Cielniak

Pruning is an essential agricultural practice for orchards. Proper pruning can promote healthier growth and optimize fruit production throughout the orchard's lifespan. Robot manipulators have been developed as an automated solution for…

机器人学 · 计算机科学 2025-10-17 Gaoyuan Liu , Bas Boom , Naftali Slob , Yuri Durodié , Ann Nowé , Bram Vanderborght

Robotic tree pruning requires highly precise manipulator control in order to accurately align a cutting implement with the desired pruning point at the correct angle. Simultaneously, the robot must avoid applying excessive force to rigid…

机器人学 · 计算机科学 2021-09-28 Alexander You , Hannah Kolano , Nidhi Parayil , Cindy Grimm , Joseph R. Davidson

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

Robotic manipulation of fresh fruits and vegetables, including the grasping of multiple loose items, has a strong industrial need but it still is a challenging task for robotic manipulation. This paper outlines the distinctive manipulation…

Robotic arm grasping is a fundamental operation in robotic control task goals. Most current methods for robotic grasping focus on RGB-D policy in the table surface scenario or 3D point cloud analysis and inference in the 3D space. Comparing…

机器人学 · 计算机科学 2019-09-18 Yaoxian Song , Jun Wen , Yuejiao Fei , Changbin Yu

Tree fruit growers around the world are facing labor shortages for critical operations, including harvest and pruning. There is a great interest in developing robotic solutions for these labor-intensive tasks, but current efforts have been…

One major recurring challenge in deploying manipulation robots is determining the optimal placement of manipulators to maximize performance. This challenge is exacerbated in complex, cluttered agricultural environments of high-value crops,…

机器人学 · 计算机科学 2025-07-30 Dominic Guri , George Kantor

This study presents a closed-loop robotic strawberry harvesting system that combines a robust vision module, simulation-trained deep reinforcement learning (DRL) control, and ROS-based realrobot execution. For perception, we propose…

机器人学 · 计算机科学 2026-05-25 Al Bashir , Shao-Yang Chang , Partho Ghose , Prem Raj , Chen-Kang Huang , Azlan Zahid

Robotic dual-arm twisting is a common but very challenging task in both industrial production and daily services, as it often requires dexterous collaboration, a large scale of end-effector rotating, and good adaptivity for object…

机器人学 · 计算机科学 2021-08-30 Weibang Bai , Ningshan Zhang , Baoru Huang , Ziwei Wang , Francesco Cursi , Ya-Yen Tsai , Bo Xiao , Eric Yeatman

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 have the potential to increase productivity, reduce…

As global demand for fruits and vegetables continues to rise, the agricultural industry faces challenges in securing adequate labor. Robotic harvesting devices offer a promising solution to solve this issue. However, harvesting delicate…

机器人学 · 计算机科学 2025-01-15 Johannes F. Elfferich , Ebrahim Shahabi , Cosimo Della Santina , Dimitra Dodou

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

In this paper, we present the lessons learnt during the development of a new robotic harvester (Harvey) that can autonomously harvest sweet pepper (capsicum) in protected cropping environments. Robotic harvesting offers an attractive…

机器人学 · 计算机科学 2017-06-21 Christopher Lehnert , Christopher McCool , Tristan Perez