Faster R-CNN and 3D reconstruction for handling tasks implementing a Scara robot
This paper presents the design and results of using a deep learning algorithm for robotic manipulation in object handling tasks in a virtual industrial environment. The simulation tool used is V-REP and the environment corresponds to a production line based on a conveyor belt and a SCARA type robot...
Saved in:
Main Authors: | Julian Herrera-Benavidez, Cesar Pachón-Suescún, Robinson Jimenez-Moreno |
---|---|
Format: | Article |
Language: | English |
Published: |
Iran University of Science and Technology
2024-11-01
|
Series: | Iranian Journal of Electrical and Electronic Engineering |
Subjects: | |
Online Access: | http://ijeee.iust.ac.ir/article-1-3331-en.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN
by: Morakot Worachairungreung, et al.
Published: (2024-12-01) -
Rebar Recognition Using Multi-Hyperbolic Attention in Faster R-CNN
by: Chuan Li, et al.
Published: (2025-01-01) -
Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model
by: Weijie Liu, et al.
Published: (2025-01-01) -
Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation
by: Baptiste Wagner, et al.
Published: (2025-01-01) -
Faster-than-Nyquist signaling: value and challenges of 6G-oriented applications
by: Xin SU, et al.
Published: (2021-09-01)