Ernesto Monroy Cruz

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About

Ernesto Monroy Cruz is a robotics researcher whose work bridges autonomous navigation, multi-agent coordination, and IoT-enabled environmental monitoring. His primary research areas include visual servoing for mobile robots, cluster space control for multi-agent systems, and low-cost robotic platforms for hazardous gas detection. Monroy Cruz’s most cited work, “An Unmanned Ground Vehicles Experimental Setup for Image-Based Object Tracking” (2015, 4 citations), presents a practical visual servoing algorithm that enables mobile robots to autonomously detect and follow objects using only onboard camera imagery—a foundational contribution to vision-based robotic control. In “Triangular Formation Cluster Space Control for Multi-Agent Entrapment/Escorting Tasks” (2023, 2 citations), he developed novel strategies for coordinating multiple robots to entrap and escort static or dynamic targets, advancing the field of swarm robotics. His recent work, “Mobile Robotic Platform IoT-based for LP Gas Detection” (2023, 2 citations), demonstrates a low-cost, V-methodology-designed robot that leverages IoT sensors for autonomous hazardous gas detection, showcasing practical applications in safety and environmental monitoring. With a focus on real-world deployability and multi-robot collaboration, Monroy Cruz’s research continues to impact both theoretical robotics and applied engineering solutions.