Evaluating performance and generalizability of Learning from Demonstration for the harvesting of apples & pears DOI Creative Commons
Robert van de Ven, Ard Nieuwenhuizen,

E.J. van Henten

и другие.

Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 101006 - 101006

Опубликована: Май 1, 2025

Язык: Английский

Development and evaluation of a dual-arm robotic apple harvesting system DOI
Kyle Lammers, Kaixiang Zhang, Keyi Zhu

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 227, С. 109586 - 109586

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

3

A Map Segmentation Method Based on Image Processing for Robot Complete Coverage Operation DOI Open Access

Haojun Si,

Zhonghua Miao,

Wen Zhang

и другие.

Journal of Field Robotics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

ABSTRACT Path planning is crucial for autonomous robot navigation and operation. Tasks like cleaning, inspection, mining, all require complete coverage For maps of convex regions, a reciprocating method can be used. However, concave shapes, it unsuitable. this purpose, paper proposes an image‐based map segmentation path planning. Taking the grip as image, used to divide into subregions. each region, will generate batch waypoints controller. The subregions are then connected achieve entire region. On basis global planning, local following, real‐time obstacle avoidance methods, operation achieved. Moreover, ratio calculation proposed shown real‐timely in visual interface. Extensive experiments simulations real‐world environments demonstrate effectiveness method, achieving average 97.89% maximum 92.19% presence obstacles. Most importantly, has been successfully tested on mining vehicle, 96% given maps.

Язык: Английский

Процитировано

0

MetaFruit meets foundation models: Leveraging a comprehensive multi-fruit dataset for advancing agricultural foundation models DOI
Jiajia Li, Kyle Lammers,

Xunyuan Yin

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 231, С. 109908 - 109908

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

0

Establishment of Optimal Quality Indices and Criteria for Ripening Diagnosis on ‘Hongro’ Apple DOI
Seul Ki Lee, Jung Gun Cho, Jae Hoon Jeong

и другие.

Journal of Bio-Environment Control, Год журнала: 2025, Номер 34(1), С. 27 - 36

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

0

Integrating machine learning, optical sensors, and robotics for advanced food quality assessment and food processing DOI Creative Commons
Inhwan Lee, Luyao Ma

Food Innovation and Advances, Год журнала: 2025, Номер 4(1), С. 65 - 72

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Research on multi-layer model attitude recognition and picking strategy of small tomato picking robot DOI
Guangyu Hou, Haihua Chen,

Runxin Niu

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 232, С. 110125 - 110125

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0

Advance on Agricultural Robot Hand–Eye Coordination for Agronomic Task: A Review DOI Creative Commons
Liang He, Yuhuan Sun, Liping Chen

и другие.

Engineering, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Finite element analysis and structural optimization design of multifunctional robotic arm for garbage truck DOI Creative Commons

Hongjiang Li,

Yang Li

Frontiers in Mechanical Engineering, Год журнала: 2025, Номер 11

Опубликована: Апрель 2, 2025

Introduction With the increasing demand for garbage disposal, complex operating environments and frequent use require truck manipulators to have better performance. Methods This study designs a multifunctional robotic arm trucks, which has three basic degrees of freedom, is driven by hydraulic cylinders, claw type end effector. Through theory relative motion linkage mechanisms, mechanics, including forward inverse kinematics problems, are analyzed, methods calculating joint driving forces, rod angular velocities, other parameters determined. In structural optimization design, reducing weight taken as objective function. At same time, considering performance indicators such stiffness strength, material selection, manufacturing errors, cost constraints set constraints, carried out using finite element analysis topology optimization. Results After optimization, overall mass function reached 64.39 kg after 11th decrease about 14.28% compared initial 75.12 kg. terms processing factors, optimized accuracy been improved ±0.15 mm, cutting speed some materials increased 20%, mold production cycle shortened 30%. Discussion The results show that stress distribution structure changed but still meets requirements strength stiffness. design effectively improves arm, reduces costs, beneficial more stable efficient operations in collection transportation.

Язык: Английский

Процитировано

0

Key technologies in apple harvesting robot for standardized orchards: A comprehensive review of innovations, challenges, and future directions DOI
Wanjia Hua, Zhao Zhang, Wenqiang Zhang

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 235, С. 110343 - 110343

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Research status of apple picking robotic arm picking strategy and end-effector DOI
Chun‐Lin Chen, Z. Song, Xiangdong Li

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 235, С. 110349 - 110349

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0