Papers
90
Total Citations
3,229
H-Index
31
About
Farshad Arvin is a leading researcher in autonomous robotics, swarm intelligence, and multi-robot systems, whose work bridges foundational theory with real-world engineering applications. His most celebrated contributions lie in applying deep reinforcement learning to autonomous robot navigation and exploration: his 2020 paper on Voronoi-based multi-robot exploration has garnered over 400 citations, while his hierarchical trajectory planning framework has accumulated nearly 280, establishing him as a prominent voice in intelligent mobile robotics. Arvin has made equally significant strides in cooperative control, developing adaptive platoon coordination strategies for connected vehicles and decentralized cluster formation frameworks for multi-robot systems. His swarm robotics work spans both hardware and algorithms — he co-developed the affordable Colias and Mona robot platforms, lowering barriers to swarm research and education, while pioneering bio-inspired vision systems and fuzzy-based aggregation methods. His 2020 review on swarm intelligence and cyber-physical systems reflects a broader intellectual ambition, synthesizing emerging trends across disciplines. With cumulative citations exceeding 1,700, Arvin's research continues to shape how autonomous systems perceive, communicate, and collaborate in complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
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- 5A Decentralized Cluster Formation Containment Framework for Multirobot Systems153 citations · 2021
- 6Mona: an Affordable Open-Source Mobile Robot for Education and Research141 citations · 2018
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- 8Colias: An Autonomous Micro Robot for Swarm Robotic Applications88 citations · 2014
- 9Cue-based aggregation with a mobile robot swarm: a novel fuzzy-based method75 citations · 2014
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