Recognition of Grasping Patterns Using Deep Learning for Human–Robot Collaboration
Recent advances in the field of collaborative robotics aim to endow industrial robots with prediction and anticipation abilities. In many shared tasks, the robot’s ability to accurately perceive and recognize the objects being manipulated by the human operator is crucial to make predictions about th...
Main Authors: | Pedro Amaral, Filipe Silva, Vítor Santos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/21/8989 |
Similar Items
-
Evaluation of different robotic grippers for simultaneous multi-object grasping
by: Werner Friedl
Published: (2024-11-01) -
Keypoint-Based Robotic Grasp Detection Scheme in Multi-Object Scenes
by: Tong Li, et al.
Published: (2021-03-01) -
Simplified Grasping and Manipulation with Dextrous Robot Hands
by: Fearing, Ronald S.
Published: (2004) -
Robotic Grasping of Unknown Objects Based on Deep Learning-Based Feature Detection
by: Kai Sherng Khor, et al.
Published: (2024-07-01) -
Development of robotic grasping of object detection model
by: Koh, Aloysius Jun Jie
Published: (2024)