Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Leiyang Fu"'
Publikováno v:
Sensors, Vol 24, Iss 23, p 7759 (2024)
The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. The algorithm employs an accumulator-
Externí odkaz:
https://doaj.org/article/5fda30c052184ba28abf51b71c20a243
Publikováno v:
Sensors, Vol 24, Iss 21, p 6777 (2024)
To address the issue of accurately recognizing and locating picking points for tea-picking robots in unstructured environments, a visual positioning method based on RGB-D information fusion is proposed. First, an improved T-YOLOv8n model is proposed,
Externí odkaz:
https://doaj.org/article/d66d6f46981a4c6cbf0f188d62f11975
Autor:
Leiyang Fu, Shaowen Li
Publikováno v:
Sensors, Vol 24, Iss 13, p 4096 (2024)
It is worthwhile to calculate the execution cost of a manipulator for selecting a planning algorithm to generate trajectories, especially for an agricultural robot. Although there are various off-the-shelf trajectory planning methods, such as pursuin
Externí odkaz:
https://doaj.org/article/87f90628b6214e98b356abbe20da09fb
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
It is well known that crop classification is essential for genetic resources and phenotype development. Compared with traditional methods, convolutional neural networks can be utilized to identify features automatically. Nevertheless, crops and scena
Externí odkaz:
https://doaj.org/article/852ffbdc687f4f2b96fbeebaee73dabf
Autor:
Leiyang Fu, Shaowen Li
Publikováno v:
Sensors, Vol 23, Iss 19, p 8123 (2023)
This paper discusses a semantic segmentation framework and shows its application in agricultural intelligence, such as providing environmental awareness for agricultural robots to work autonomously and efficiently. We propose an ensemble framework ba
Externí odkaz:
https://doaj.org/article/9e06e80097844414bac84d392f64c7a2
Publikováno v:
Journal of Robotics, Vol 2021 (2021)
In order to improve the weeding efficiency and protect farm crops, accurate and fast weeds removal guidance to agricultural mobile robots is an utmost important topic. Based on this motivation, we propose a time-efficient quadratic traversal algorith
Externí odkaz:
https://doaj.org/article/9a449b2ee4374ee594adf104879463f7