Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations
The importance of deep learning has heralded transforming changes across different technological domains, not least in the enhancement of robotic arm functionalities of object detection’s and grasping. This paper is aimed to review recent and past studies to give a comprehensive insight to focus in...
Saved in:
Main Authors: | Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Engineering, University of Kufa
2025-02-01
|
Series: | Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ |
Subjects: | |
Online Access: | https://journal.uokufa.edu.iq/index.php/kje/article/view/16241 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Physics-Based Self-Supervised Grasp Pose Detection
by: Jon Ander Ruiz, et al.
Published: (2024-12-01) -
Robot Closed-Loop Grasping Based on Deep Visual Servoing Feature Network
by: Junqi Luo, et al.
Published: (2025-01-01) -
Motor-Less Robotic Gripper: Driving Mechanism by Robotic Manipulator Movement
by: Toshihiro Nishimura, et al.
Published: (2025-01-01) -
Regeneration of natural grasp prehensions on underactuated robot‐hand through kinaesthetic guidance
by: R. Chattaraj, et al.
Published: (2017-03-01) -
A Review of Touching-Based Underwater Robotic Perception and Manipulation
by: Jia Sun, et al.
Published: (2025-01-01)