Genetic algorithm-based trajectory optimization for digital twin robots
Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …
Multi-scale feature fusion convolutional neural network for indoor small target detection
L Huang, C Chen, J Yun, Y Sun, J Tian, Z Hao… - Frontiers in …, 2022 - frontiersin.org
The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …
people and the environment, but the changeable application scenarios make the detection …
Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization
Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …
brightness enhancement during image enhancement in low light environment, we propose a …
Self-tuning control of manipulator positioning based on fuzzy PID and PSO algorithm
Y Liu, D Jiang, J Yun, Y Sun, C Li, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …
Manipulator grabbing position detection with information fusion of color image and depth image using deep learning
D Jiang, G Li, Y Sun, J Hu, J Yun, Y Liu - Journal of Ambient Intelligence …, 2021 - Springer
In order to ensure stable gripping performance of manipulator in a dynamic environment, a
target object grab setting model based on the candidate region suggestion network is …
target object grab setting model based on the candidate region suggestion network is …
Real-time target detection method based on lightweight convolutional neural network
J Yun, D Jiang, Y Liu, Y Sun, B Tao, J Kong… - … in Bioengineering and …, 2022 - frontiersin.org
The continuous development of deep learning improves target detection technology day by
day. The current research focuses on improving the accuracy of target detection technology …
day. The current research focuses on improving the accuracy of target detection technology …
[HTML][HTML] Intelligent human computer interaction based on non redundant EMG signal
Y Sun, C Xu, G Li, W Xu, J Kong, D Jiang, B Tao… - Alexandria Engineering …, 2020 - Elsevier
Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …
more intelligent, concise and efficient human-computer interaction. It is of great significance …
Improved single shot detection using DenseNet for tiny target detection
S Wang, M Xu, Y Sun, G Jiang, Y Weng… - Concurrency and …, 2023 - Wiley Online Library
As the development of deep learning and the continuous improvement of computing power,
as well as the needs of social production, target detection has become a research hotspot in …
as well as the needs of social production, target detection has become a research hotspot in …
Intelligent human-computer interaction based on surface EMG gesture recognition
J Qi, G Jiang, G Li, Y Sun, B Tao - Ieee Access, 2019 - ieeexplore.ieee.org
Urban intelligence is an emerging concept which guides a series of infrastructure
developments in modern smart cities. Human-computer interaction (HCI) is the interface …
developments in modern smart cities. Human-computer interaction (HCI) is the interface …
Surface EMG hand gesture recognition system based on PCA and GRNN
J Qi, G Jiang, G Li, Y Sun, B Tao - Neural Computing and Applications, 2020 - Springer
The principal component analysis method and GRNN neural network are used to construct
the gesture recognition system, so as to reduce the redundant information of EMG signals …
the gesture recognition system, so as to reduce the redundant information of EMG signals …