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相关论文: Vision-based Vineyard Navigation Solution with Aut…

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Autonomous navigation is the foundation of agricultural robots. This paper focuses on developing an advanced autonomous navigation system for a rover operating within row-based crops. A position-agnostic system is proposed to address the…

机器人学 · 计算机科学 2024-04-09 Matteo Sperti , Marco Ambrosio , Mauro Martini , Alessandro Navone , Andrea Ostuni , Marcello Chiaberge

Autonomous navigation of a robot in agricultural fields is essential for every task from crop monitoring to weed management and fertilizer application. Many current approaches rely on accurate GPS, however, such technology is expensive and…

机器人学 · 计算机科学 2022-10-13 Alireza Ahmadi , Michael Halstead , Chris McCool

Autonomous navigation is a pre-requisite for field robots to carry out precision agriculture tasks. Typically, a robot has to navigate through a whole crop field several times during a season for monitoring the plants, for applying…

机器人学 · 计算机科学 2019-09-30 Alireza Ahmadi , Lorenzo Nardi , Nived Chebrolu , Cyrill Stachniss

Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities. Robotic navigation in vineyards and orchards offers competitive advantages in autonomously…

机器人学 · 计算机科学 2022-11-03 Mauro Martini , Simone Cerrato , Francesco Salvetti , Simone Angarano , Marcello Chiaberge

Precision agriculture is a fast-growing field that aims at introducing affordable and effective automation into agricultural processes. Nowadays, algorithmic solutions for navigation in vineyards require expensive sensors and high…

机器人学 · 计算机科学 2021-12-21 Diego Aghi , Simone Cerrato , Vittorio Mazzia , Marcello Chiaberge

With the advent of agriculture 3.0 and 4.0, researchers are increasingly focusing on the development of innovative smart farming and precision agriculture technologies by introducing automation and robotics into the agricultural processes.…

机器学习 · 计算机科学 2020-05-27 Diego Aghi , Vittorio Mazzia , Marcello Chiaberge

The dynamic and heterogeneous nature of agricultural fields presents significant challenges for object detection and localization, particularly for autonomous mobile robots that are tasked with surveying previously unseen unstructured…

计算机视觉与模式识别 · 计算机科学 2026-03-31 Dimitrios Chatziparaschis , Elia Scudiero , Brent Sams , Konstantinos Karydis

Vision-based navigation systems in arable fields are an underexplored area in agricultural robot navigation. Vision systems deployed in arable fields face challenges such as fluctuating weed density, varying illumination levels, growth…

机器人学 · 计算机科学 2024-05-29 Rajitha de Silva , Grzegorz Cielniak , Junfeng Gao

Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practical usage, and their financial impact constitutes a…

Agricultural robots have the potential to increase production yields and reduce costs by performing repetitive and time-consuming tasks. However, for robots to be effective, they must be able to navigate autonomously in fields or orchards…

机器人学 · 计算机科学 2023-07-07 Riccardo Bertoglio , Veronica Carini , Stefano Arrigoni , Matteo Matteucci

Small robots that can operate under the plant canopy can enable new possibilities in agriculture. However, unlike larger autonomous tractors, autonomous navigation for such under canopy robots remains an open challenge because Global…

Reliable long-term deployment of autonomous robots in agricultural environments remains challenging due to perceptual aliasing, seasonal variability, and the dynamic nature of crop canopies. Vineyards, characterized by repetitive row…

机器人学 · 计算机科学 2026-03-06 Giorgio Audrito , Mauro Martini , Alessandro Navone , Giorgia Galluzzo , Marcello Chiaberge

Segmentation-based autonomous navigation has recently been proposed as a promising methodology to guide robotic platforms through crop rows without requiring precise GPS localization. However, existing methods are limited to scenarios where…

机器人学 · 计算机科学 2024-02-27 Alessandro Navone , Mauro Martini , Andrea Ostuni , Simone Angarano , Marcello Chiaberge

The successful implementation of vision-based navigation in agricultural fields hinges upon two critical components: 1) the accurate identification of key components within the scene, and 2) the identification of lanes through the detection…

计算机视觉与模式识别 · 计算机科学 2023-04-11 Shivam K Panda , Yongkyu Lee , M. Khalid Jawed

Autonomous navigation in agricultural environments is challenged by varying field conditions that arise in arable fields. State-of-the-art solutions for autonomous navigation in such environments require expensive hardware such as RTK-GNSS.…

计算机视觉与模式识别 · 计算机科学 2023-08-11 Rajitha de Silva , Grzegorz Cielniak , Gang Wang , Junfeng Gao

Autonomous navigation is crucial for various robotics applications in agriculture. However, many existing methods depend on RTK-GPS devices, which can be susceptible to loss of radio signal or intermittent reception of corrections from the…

机器人学 · 计算机科学 2024-09-20 Ruiji Liu , Francisco Yandun , George Kantor

There is a dramatic shortage of skilled labor for modern vineyards. The Vinum project is developing a mobile robotic solution to autonomously navigate through vineyards for winter grapevine pruning. This necessitates an autonomous…

机器人学 · 计算机科学 2023-01-04 Lee Milburn , Juan Gamba , Claudio Semini

Robotic pollination offers a promising alternative to manual labor and bumblebee-assisted methods in controlled agriculture, where wind-driven pollination is absent and regulatory restrictions limit the use of commercial pollinators. In…

机器人学 · 计算机科学 2026-03-10 Jaehwan Jeong , Tuan-Anh Vu , Radha Lahoti , Jiawen Wang , Vivek Alumootil , Sangpil Kim , M. Khalid Jawed

Service robotics is recently enhancing precision agriculture enabling many automated processes based on efficient autonomous navigation solutions. However, data generation and infield validation campaigns hinder the progress of large-scale…

This paper describes a method of estimating the traversability of plant parts covering a path and navigating through them for mobile robots operating in plant-rich environments. Conventional mobile robots rely on scene recognition methods…

机器人学 · 计算机科学 2022-01-14 Shigemichi Matsuzaki , Hiroaki Masuzawa , Jun Miura
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