Collaborative control of multi-manipulator systems in intelligent manufacturing based on event-triggered and adaptive strategy
Multi-manipulator systems face challenges in coordinating their movement in complex environments. To enhance the collaborative control stability of multi-manipulator systems in intelligent manufacturing, this study utilizes event-triggered (ET) mechanisms to reduce the signal transmission burden and...
Saved in:
Main Author: | Leng Xuefeng |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2024-12-01
|
Series: | Nonlinear Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/nleng-2024-0051 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Software Distribution and Collaboration in Manufacturing: Developing the IMOS Platform
by: Antonio Monte Pegado, et al.
Published: (2025-01-01) -
Path Planning of Manipulators Based on the Norm Adaptive Step-size RRT Algorithm
by: Liu Yafei, et al.
Published: (2024-12-01) -
Object-to-Manipulation Graph for Affordance Navigation
by: Xinhang Song, et al.
Published: (2024-05-01) -
TYPOLOGYCAL VARIETIES OF STRATEGIES IN SOCIAL MEDIA
by: Victoria Ivashchenko, et al.
Published: (2024-12-01) -
Path Planning of Manipulators with the Improved RRT Algorithm in Complex Environment
by: Zhou Qinyuan, et al.
Published: (2024-09-01)