A. J. Ford

Monash University

Papers

1

Total Citations

16

H-Index

1

About

A. J. Ford is a pioneer in the application of graph theory to multi-robot systems, with a focused body of work that has shaped how researchers approach decentralized coordination and formation control. In their seminal 2012 paper, "Controlling Formations of Robots with Graph Theory," Ford introduced a rigorous mathematical framework that enables teams of autonomous robots to maintain stable, scalable formations using only local interactions. This work, which has garnered 16 citations, laid the foundation for subsequent advances in swarm robotics and distributed control, demonstrating how graph-theoretic tools like Laplacian matrices can be used to design robust, fault-tolerant behaviors. Ford’s contributions are particularly notable for bridging the gap between abstract graph theory and practical robotic applications, offering clear algorithms for tasks such as leader-follower coordination and obstacle avoidance. While their citation count reflects a specialized but influential niche, Ford’s research is widely recognized for its clarity and elegance, making it a staple reference in graduate-level robotics courses. Their work continues to inspire new generations of engineers seeking to build resilient, intelligent multi-agent systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Controlling Formations of Robots with Graph Theory
16 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Monash University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 67 days ago