Max Robotics — Global Service Robot Directory + US Certification

About

David Yanguas-Rojas is a leading researcher in multi-robot systems, specializing in swarm intelligence, heterogeneous robot networks, and bio-inspired exploration algorithms. His most impactful work, "Leader-Follower Formation for UAV Robot Swarm Based on Fuzzy Logic Theory" (30 citations), introduced a novel fuzzy logic control framework that enables stable, adaptive formation flying for unmanned aerial vehicle swarms—a foundational contribution to decentralized aerial coordination. In search and rescue robotics, Yanguas-Rojas developed a pioneering control strategy for heterogeneous robot teams, integrating real-time motion control with discrete task allocation to optimize victim search, identification, and evacuation (16 citations). His ant-based exploration algorithm (13 citations) broke new ground by allowing multi-agent exploration of non-convex spaces without requiring constant global connectivity, mimicking pheromone trails to avoid redundant coverage. More recently, he has extended his expertise into humanoid robotics, applying reinforcement learning to optimize bipedal gait on the MAX-E2 humanoid robot (2022). With over 70 total citations, Yanguas-Rojas’s work bridges theoretical swarm intelligence with practical, life-saving applications, making him a key figure in autonomous robotics for disaster response and multi-agent coordination.