Learning-based robotic grasping: A review
As personalization technology increasingly orchestrates individualized shopping or marketing experiences in industries such as logistics, fast-moving consumer goods, and food delivery, these sectors require flexible solutions that can automate object grasping for unknown or unseen objects without mu...
Main Authors: | Zhen Xie, Xinquan Liang, Canale Roberto |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-04-01
|
Series: | Frontiers in Robotics and AI |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2023.1038658/full |
Similar Items
-
Data-Driven Robotic Tactile Grasping for Hyper-Personalization Line Pick-and-Place
by: Zhen Xie, et al.
Published: (2023-05-01) -
Autoencoding a Soft Touch to Learn Grasping from On‐Land to Underwater
by: Ning Guo, et al.
Published: (2024-01-01) -
Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots
by: Wei Zheng, et al.
Published: (2022-07-01) -
Adaptive Grasping of Moving Objects through Tactile Sensing
by: Patrick Lynch, et al.
Published: (2021-12-01) -
Manipulation of Unknown Objects to Improve the Grasp Quality Using Tactile Information
by: Andrés Montaño, et al.
Published: (2018-05-01)