Anh Duc Dang
Papers
9
Total Citations
141
H-Index
7
About
Anh Duc Dang is a robotics researcher whose work centers on multi-robot systems, autonomous navigation, and swarm intelligence. Over the past decade, he has made significant contributions to the field of formation control, developing innovative methods that enable groups of autonomous robots to coordinate movement, track moving targets, and navigate complex environments filled with dynamic obstacles. Dang's most impactful contribution is his rotational and repulsive force–based approach to formation control, which has garnered 45 citations since its 2019 publication, establishing it as a key reference in the field. His earlier work on distributed formation control in noisy environments (2016, 33 citations) further demonstrated his ability to tackle real-world challenges where environmental uncertainty undermines robot coordination. By introducing virtual node frameworks and artificial potential field techniques, he developed scalable, decentralized solutions applicable to diverse formation geometries, including V-shape, collinear, and adaptive configurations. A recurring theme across his research is robustness — ensuring formation integrity persists even when environments are unpredictable or obstacle-laden. With over 140 cumulative citations and a consistent publication record spanning 2014 to 2019, Dang has established himself as a productive voice in autonomous multi-robot systems research, offering practical algorithmic foundations that continue to inform both academic study and real-world robotics applications.
Research Focus
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