Yoones Mirhosseini
Papers
1
Total Citations
5
H-Index
1
About
Yoones Mirhosseini is a researcher in swarm robotics and self-organizing systems, with a focus on how simple local interactions can produce complex collective behaviors. His most cited work, "Adaptive phototaxis of a swarm of mobile robots using positive and negative feedback self-alignment" (2022, 5 citations), introduces a novel approach where robots exploit collisions to achieve adaptive phototaxis—moving toward a light source as a cohesive group. By modeling collision-driven orientation changes after positive and negative feedback mechanisms, Mirhosseini demonstrates how individual robots can self-align without centralized control, enabling scalable and robust swarm coordination. This work contributes to the broader field of embodied intelligence, offering insights into decentralized decision-making and emergent dynamics in multi-robot systems. His research holds promise for applications in environmental monitoring, search-and-rescue, and collective exploration, where simple, resilient algorithms are essential. Mirhosseini’s contributions highlight the power of bio-inspired design in engineering adaptive, autonomous swarms.
Research Focus
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Top Papers
- 1