Brian D. O. Anderson
Australian National University, Data61, National Supercomputing Center in Wuxi
Papers
13
Total Citations
258
H-Index
8
About
Brian D. O. Anderson is a towering figure in control theory and multi-agent systems, whose work has fundamentally shaped how robots and autonomous vehicles perceive, navigate, and coordinate. His research centers on target pursuit, localization, and formation control, with a particular emphasis on using minimal sensory data—such as distance measurements and bearing angles—to achieve complex tasks. One of his landmark contributions is the development of adaptive control frameworks for target localization and circumnavigation, enabling non-holonomic robots to pursue and circle a target using only bearing information (55+ citations). He also pioneered cooperative self-localization techniques for mobile agents like UAVs, solving the challenge of positioning without GPS by leveraging inter-agent distances and landmark angles (31 citations). More recently, Anderson has advanced path-following control with guiding vector fields, allowing robots to navigate occluded paths and avoid obstacles while maintaining convergence to a desired trajectory (26+ citations). His work on formation rigidity and distributed optimization has provided the theoretical backbone for maintaining stable multi-robot platoons (14+ citations). With over 66 citations on his adaptive pursuit paper alone, Anderson’s research continues to influence modern robotics, autonomous vehicles, and sensor networks.
Research Focus
Key Achievements
Top Papers
- 1Adaptive range‐measurement‐based target pursuit66 citations · 2012
- 2Target localization and circumnavigation by a non-holonomic robot55 citations · 2012
- 3Cooperative Self-Localization of Mobile Agents31 citations · 2011
- 4Guiding Vector Fields for Following Occluded Paths26 citations · 2022
- 5Topological Analysis of Vector-Field Guided Path Following on Manifolds18 citations · 2022
- 6Information Architecture and Control Design for Rigid Formations14 citations · 2006
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