Juan Cerquera

Papers

Total Citations

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About

Juan Cerquera is a researcher whose work lies at the intersection of robotics, autonomous systems, and multi-agent coordination, with a particular focus on integrating unmanned aerial and ground vehicles. His most cited paper, "Formation Control of UGVs using an UAV as Remote Vision Sensor" (2014, 18 citations), introduces a novel framework where an aerial drone acts as a remote vision sensor to guide ground robots in maintaining formation. This contribution is significant for enabling heterogeneous robotic teams to collaborate in GPS-denied or complex environments, enhancing situational awareness and control. Cerquera’s research addresses critical challenges in cooperative robotics, such as sensor fusion, real-time communication, and decentralized control. With 18 citations, his work has influenced subsequent studies in swarm robotics and autonomous navigation. His achievements highlight a practical approach to bridging aerial and ground platforms, offering scalable solutions for applications in search-and-rescue, surveillance, and agricultural monitoring. For students and researchers, Cerquera’s work exemplifies how cross-platform integration can push the boundaries of autonomous systems, making him a notable figure in the field of multi-robot coordination.