Carlos Elchami

University of Toronto

Papers

1

Total Citations

6

H-Index

1

About

Carlos Elchami has made significant contributions to human-robot interaction (HRI) and multi-robot systems, with a particular focus on urban search and rescue (USAR) applications. His most cited work, "A graphical user interface for multi-robot control in urban search and rescue applications" (2016), addresses the critical challenge of enabling a single operator to effectively manage heterogeneous robot teams in disaster scenarios. Elchami’s interface allows operators to configure, monitor, and control individual robots or entire teams, streamlining coordination in high-stakes environments. While his citation count (6) reflects the specialized nature of his research, his work is foundational for advancing HRI in robotics, emphasizing usability and scalability. Elchami’s contributions are notable for bridging the gap between complex multi-robot systems and practical, operator-friendly tools—a key step toward deploying robots in real-world emergencies. His research continues to influence the design of intuitive control systems, making him a valuable voice in the robotics community.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A graphical user interface for multi-robot control in urban search and rescue applications
6 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago