Research on Multi-Object Sorting System Based on Deep Learning
As a complex task, robot sorting has become a research hotspot. In order to enable robots to perform simple, efficient, stable and accurate sorting operations for stacked multi-objects in unstructured scenes, a robot multi-object sorting system is built in this paper. Firstly, the training model of...
Main Authors: | Hongyan Zhang, Huawei Liang, Tao Ni, Lingtao Huang, Jinsong Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/18/6238 |
Similar Items
-
PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation
by: Desen Zhou, et al.
Published: (2020-01-01) -
Bin-Picking for Planar Objects Based on a Deep Learning Network: A Case Study of USB Packs
by: Tuan-Tang Le, et al.
Published: (2019-08-01) -
Mushroom Detection and Three Dimensional Pose Estimation from Multi-View Point Clouds
by: George Retsinas, et al.
Published: (2023-03-01) -
A Robot Pose Estimation Optimized Visual SLAM Algorithm Based on CO-HDC Instance Segmentation Network for Dynamic Scenes
by: Jinjie Chen, et al.
Published: (2022-04-01) -
Improved DeepSORT Algorithm Based on Multi-Feature Fusion
by: Haiying Liu, et al.
Published: (2022-06-01)