Max Robotics — Global Service Robot Directory + US Certification

About

Eduardo L. Pasiliao is a leading researcher in autonomous systems, multi-robot coordination, and indoor positioning, with a focus on integrating sensing, communication, and control for real-world deployment. His work addresses critical challenges in enabling mobile robots—from unmanned aerial vehicles to ground agents—to operate reliably in complex, unstructured environments. Pasiliao’s major contributions include developing a distributed sensing approach for single-platform image-based localization using deep convolutional networks, achieving robust robot relocalization without stereo cameras. He has also pioneered methods for optimizing network topology in systems of mobile robots under energy constraints, significantly reducing aggregate traffic to maintain peer-to-peer communication in large-scale swarms. His research on autonomous navigation to RF sources in multipath environments advances the ability of robots to locate signals despite interference, with applications in search-and-rescue and defense. Pasiliao’s work on RF-based multi-source indoor positioning (RF-MSiP) has garnered attention for its potential in IoT and smart city contexts. With papers accumulating citations in the single digits to low tens, his impact is growing steadily, particularly among researchers in robotics, sensor networks, and autonomous systems. His achievements reflect a deep commitment to practical, scalable solutions for the next generation of intelligent, networked robots.