Stabilisation of infinitesimally rigid formations of multi-robot networks

By Laura Krick, Mireille E. Broucke, Bruce A. Francis. International Journal of Control, 2009

541 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/642ddf3961eeaff8953dd1ce9d1eb23703659d6e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. A. Stephen Morse

In Computer Networks and Communications

1. Wei Ren
2. B.D.O. Anderson
3. A. Stephen Morse
4. Zhiyun Lin
5. Zhimin Han
6. Lili Wang
7. M. Fu
8. Zhiyong Sun

In Control and Systems Engineering

1. A. Stephen Morse
2. B.D.O. Anderson
3. Zhimin Han
4. Zhiyun Lin
5. Shaoshuai Mou
6. Lili Wang
7. Mohammad Deghat
8. M. Fu

Citations in the corpus

• Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian (2014, background): “The former mainly concentrates on defining a formation using graph-theoretic rigidity [4], [16], [17], [22], [33], [40], while the latter concerns stabilization to a formation [7], [8], [10], [24], [32], [38], [39] and control of formation shape in moving [3], [5], [12]–[14], [20].”
• Finite Time Distance-based Rigid Formation Stabilization and Flocking (2014, methodology): “Along this direction, Krick et al. (2009), Dimarogonas and Johansson (2009), Dorfler and Francis (2010), Cao et al. (2011), Mou et al. (2011) and Oh and Ahn (2013) have studied the distance-based formation control for different formation”