Reinforcement learning for robot assembly
Robotic systems are traditionally employed in manufacturing to automate repetitive tasks such as welding, painting, and pick-and-place. Despite tremendous progress in robotics research, the classical assembly skill remains a challenge. In most cases, the difficult assembly skills still rely heavily...
Saved in:
Main Author: | Vuong Quoc Nghia |
---|---|
Other Authors: | Pham Quang Cuong |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174724 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
COGNITIVE ENGINE AND DEEP REINFORCEMENT LEARNING FOR ROBOT-ASSISTED SURGERY
by: TAN XIAOYU
Published: (2019) -
HIERARCHICAL REINFORCEMENT LEARNING WITH PARAMETERIZED OPTIONS FOR LONG-HORIZON ROBOTIC MANIPULATION
by: GUO CHAOQUN
Published: (2023) -
Deep reinforcement learning for soft, flexible robots: Brief review with impending challenges
by: Bhagat, S., et al.
Published: (2021) -
MODEL-BASED REINFORCEMENT LEARNING FOR COMPLEX ENVIRONMENTS
by: MA XIAO
Published: (2022) -
Intelligent robot manipulation with deep learning
by: Tan, Jun Aun
Published: (2024)