Vision-based formation control of mobile robots

Liu, Shicai; Tan, Dalong; Liu, Guangjun

doi:10.1007/s11768-005-0012-7

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2009

2012

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In most references, these methods are divided into three kinds: leader-follower schemes [4] ; behavior-based methods [5] ; and virtual structure techniques [6] .…”

Section: Introductionmentioning

confidence: 99%

Multiple robots formation control based on receding horizon optimization

Han

2009

2009 International Conference on Information and Automation

View full text Add to dashboard Cite

A new two-level receding horizon multiple robot formation control strategy is proposed in this paper. Where the local GPMN tracking controllers acting on each individual robot system are at the lower level, and at the higher level, the receding horizon optimization is conducted by considering both the full dynamics of each robot system and their local controller. This new algorithm presents some attracting advantages, including the suboptimal formation behavior based on the receding horizon optimization algorithm, the convergence ensured by the GPMN structure, the good real time performance, and the reduced communicational burden. And finally, in order to show the feasibility and validity of the new proposed algorithm, simulations with respect to the formation problem of 4 planar model helicopters are conducted and the results are analyzed.

show abstract

“…In most references, these methods are divided into three kinds: leader-follower schemes [4] ; behavior-based methods [5] ; and virtual structure techniques [6] .…”

Section: Introductionmentioning

confidence: 99%