Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Jinan Gu"'
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Intelligent apple-picking robots can significantly improve the efficiency of apple picking, and the realization of fast and accurate recognition and localization of apples is the prerequisite and foundation for the operation of picking robots. Existi
Externí odkaz:
https://doaj.org/article/e8a9dd1131124e4796dbf6cc21090ea9
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 20971-20994 (2023)
As an essential part of electronic component assembly, it is crucial to rapidly and accurately detect electronic components. Therefore, a lightweight electronic component detection method based on knowledge distillation is proposed in this study. Fir
Externí odkaz:
https://doaj.org/article/64fbea5db1144f499062736a3bd25673
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 12601-12616 (2022)
This paper addresses the robust enhancement problem in the control of robot manipulators. A new hierarchical multiloop model predictive control (MPC) scheme is proposed by combining an inverse dynamics-based feedback linearization and a nonlinear dis
Externí odkaz:
https://doaj.org/article/b9626d46a2ae47e19c9e4cf2f073b54a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9371-9387 (2022)
Due to nonlinearity and uncertainty of the robotic manipulator, the design of the robot controller has a crucial impact on its performance of motion and trajectory tracking. In this paper, the linear parameter varying (LPV) - model predictive control
Externí odkaz:
https://doaj.org/article/bf354fe051d347d097bce5d39bad4182
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great. As a result, tea is very popular and has become the second most popular beverage in the world after water. For this reason, it is essential to improve the y
Externí odkaz:
https://doaj.org/article/f534d836b93c4f1d88e63c7348197fec
Publikováno v:
Agronomy, Vol 13, Iss 7, p 1816 (2023)
The vision-based fruit recognition and localization system is the basis for the automatic operation of agricultural harvesting robots. Existing detection models are often constrained by high complexity and slow inference speed, which do not meet the
Externí odkaz:
https://doaj.org/article/9b5c03c02cd243119bf2a69d66a02a05
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2530 (2023)
The acquisition of maize tassel phenotype information plays a vital role in studying maize growth and improving yield. Unfortunately, detecting maize tassels has proven challenging because of the complex field environment, including image resolution,
Externí odkaz:
https://doaj.org/article/01383c0ddc764b9e831f0604132a2309
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep neural ne
Externí odkaz:
https://doaj.org/article/00b20e4a76bf43039f94aabcac81d431
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0251657 (2021)
Deep learning based on a convolutional neural network (CNN) has been successfully applied to stereo matching. Compared with the traditional method, the speed and accuracy of this method have been greatly improved. However, the existing stereo matchin
Externí odkaz:
https://doaj.org/article/318bf79f1e0f4d60a0d3ba5b0d223b02
Publikováno v:
Complexity, Vol 2019 (2019)
The robot dynamic model is often rarely known due to various uncertainties such as parametric uncertainties or modeling errors existing in complex environments. It is a key problem to find the relationship between the changes of neural network struct
Externí odkaz:
https://doaj.org/article/78b71366072e47bf8dace9074ce6e171