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相关论文: Towards Autonomous Robotic Precision Harvesting: M…

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Legged robots are increasingly being adopted in industries such as oil, gas, mining, nuclear, and agriculture. However, new challenges exist when moving into natural, less-structured environments, such as forestry applications. This paper…

Automating tasks in outdoor agricultural fields poses significant challenges due to environmental variability, unstructured terrain, and diverse crop characteristics. We present a robotic system for autonomous pepper harvesting designed to…

机器人学 · 计算机科学 2024-11-18 Chung Hee Kim , Abhisesh Silwal , George Kantor

Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest. Forests are unstructured environments where it is difficult…

机器人学 · 计算机科学 2020-06-16 Qingqing Li , Paavo Nevalainen , Jorge Peña Queralta , Jukka Heikkonen , Tomi Westerlund

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

Forestry plays a vital role in our society, creating significant ecological, economic, and recreational value. Efficient forest management involves labor-intensive and complex operations. One essential task for maintaining forest health and…

Legged robots are able to navigate complex terrains by continuously interacting with the environment through careful selection of contact sequences and timings. However, the combinatorial nature behind contact planning hinders the…

机器人学 · 计算机科学 2025-11-21 Ilyass Taouil , Lorenzo Amatucci , Majid Khadiv , Angela Dai , Victor Barasuol , Giulio Turrisi , Claudio Semini

Long-term autonomy is one of the most demanded capabilities looked into a robot. The possibility to perform the same task over and over on a long temporal horizon, offering a high standard of reproducibility and robustness, is appealing.…

机器人学 · 计算机科学 2022-11-28 Riccardo Polvara , Sergi Molina Mellado , Ibrahim Hroob , Grzegorz Cielniak , Marc Hanheide

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

This paper shows the achievement of a sensing and navigation system of aerial robot for measuring location and size of trees in a forest environment autonomously. Although forestry is an important industry in Japan, the working population…

机器人学 · 计算机科学 2023-02-14 Tomoki Anzai , Moju Zhao , Fan Shi , Kei Okada , Masayuki Inaba

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…

Planning for legged-wheeled machines is typically done using trajectory optimization because of many degrees of freedom, thus rendering legged-wheeled planners prone to falling prey to bad local minima. We present a combined sampling and…

机器人学 · 计算机科学 2021-04-12 Edo Jelavic , Farbod Farshidian , Marco Hutter

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

T-Rex (The Robot for Extracting Leaf Samples) is a gantry-based robotic system developed for autonomous leaf localization, selection, and grasping in greenhouse environments. The system integrates a 6-degree-of-freedom manipulator with a…

机器人学 · 计算机科学 2025-05-06 Srecharan Selvam , Abhisesh Silwal , George Kantor

High efficiency in precision farming depends on accurate tools to perform weed detection and mapping of crops. This allows for precise removal of harmful weeds with a lower amount of pesticides, as well as increase of the harvest's yield by…

机器人学 · 计算机科学 2018-12-14 F. Langer , L. Mandtler , A. Milioto , E. Palazzolo , C. Stachniss

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

In this paper, we deal with the problem of full-body path planning for walking robots. The state of walking robots is defined in multi-dimensional space. Path planning requires defining the path of the feet and the robot's body. Moreover,…

机器人学 · 计算机科学 2023-03-07 Dominik Belter

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

We present a solution for autonomous forest inventory with a legged robotic platform. Compared to their wheeled and aerial counterparts, legged platforms offer an attractive balance of endurance and low soil impact for forest applications.…

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

By-tree information gathering is an essential task in precision agriculture achieved by ground mobile sensors, but it can be time- and labor-intensive. In this paper we present an algorithmic framework to perform real-time and on-the-go…

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