Deep learning-based object detection and robotic arm grasping
Addressing the issues of slow speed and poor performance in multi-object grasping detection in unstructured environments, a method of performing object detection before grasping detection is proposed. In object detection, to accelerate the network′s running speed, this paper improved the YOLOv5 netw...
Saved in:
| Main Authors: | ZHANG Lei, ZHANG Senhui, YAN Song, YUAN Yuan |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of XPU
2024-08-01
|
| Series: | Xi'an Gongcheng Daxue xuebao |
| Subjects: | |
| Online Access: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1485 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of different robotic grippers for simultaneous multi-object grasping
by: Werner Friedl
Published: (2024-11-01) -
Gripping Success Metric for Robotic Fruit Harvesting
by: Dasom Seo, et al.
Published: (2024-12-01) -
Hierarchical Information-guided robotic grasp detection
by: Zeyao Hou, et al.
Published: (2025-05-01) -
A Light-Weight Grasping Pose Estimation Method for Mobile Robotic Arms Based on Depthwise Separable Convolution
by: Jianguo Duan, et al.
Published: (2025-01-01) -
A Fast Grasp Planning Algorithm for Humanoid Robot Hands
by: Ziqi Liu, et al.
Published: (2024-10-01)