Marcelo Elias Simon
Papers
1
Total Citations
10
H-Index
1
About
Marcelo Elias Simon is a leading researcher in multi-robot systems, supervisory control theory, and urban search and rescue (USAR) automation. His work focuses on developing robust coordination frameworks that enable teams of autonomous robots to assist human responders in disaster scenarios, particularly in complex urban environments. Simon’s most-cited paper, "Multi-robots Coordination System for Urban Search and Rescue Assistance Based on Supervisory Control Theory" (2023), has garnered 10 citations, establishing a foundational approach for integrating formal control methods into emergency robotics. His major contribution lies in applying supervisory control theory to ensure safe, efficient, and scalable multi-robot operations under uncertainty, bridging the gap between theoretical control engineering and practical field deployment. Simon’s research has been recognized for its potential to reduce human risk in hazardous situations, and he continues to advance the field through collaborative projects and publications. His work not only demonstrates high impact within the robotics community but also offers tangible solutions for real-world disaster response, making him a notable figure in the intersection of automation and humanitarian technology.
Research Focus
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Top Papers
- 1