2024
DOI: 10.3390/machines12080543
|View full text |Cite
|
Sign up to set email alerts
|

Model Predictive Control for Formation Placement and Recovery of Traffic Cone Robots

Zhiyong Li,
Siyuan Chang,
Min Ye
et al.

Abstract: The challenge of effectively managing the formation and recovery of traffic cone robots (TCRs) is addressed by proposing a linear time-varying model predictive control (MPC) strategy. This problem involves coordinating multiple TCR formations within a work area to reach a target location, which is a huge challenge due to the complexity of dynamic coordination. Unlike conventional approaches, our method decomposes the formation control problem into two main components: leader TCR motion planning and follower fo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 28 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?