Miguel Calvo-Fullana
American Institute of Aeronautics and Astronautics, California University of Pennsylvania
Papers
2
Total Citations
52
H-Index
2
About
Miguel Calvo-Fullana is a leading researcher at the intersection of robotics, multi-agent systems, and communications, with a focus on how networked agents—particularly unmanned aerial vehicles (UAVs)—can coordinate effectively through Perception-Action-Communication (PAC) loops. His work addresses the critical challenge of closing control loops over communication channels, where latency, bandwidth, and reliability directly impact system performance. Calvo-Fullana’s most cited paper, "ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators" (2021, 44 citations), provides a foundational tool for simulating realistic communication constraints in multi-robot systems, enabling researchers to test coordination algorithms under network effects. He further demonstrated the practical impact of his work in "Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas" (2021, 8 citations), exploring how UAVs can serve as agile communication platforms. By bridging robotics and networking, Calvo-Fullana’s contributions are essential for advancing autonomous swarms, aerial base stations, and other cyber-physical systems where communication is the backbone of collective intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2