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About

Francisco Garcia Rosas is a robotics researcher specializing in autonomous exploration, mobile manipulation, and field robotics for critical applications. His work centers on developing intelligent planning algorithms that enable robots to autonomously navigate, map, and inspect complex environments—from industrial facilities to post-disaster zones. His most impactful contribution, the "Online Next-Best-View Planner for 3D-Exploration and Inspection With a Mobile Manipulator Robot" (2022, 46 citations), introduces a novel NBV planner that simultaneously performs full 3D mapping and targeted inspection of user-specified regions of interest, bridging the gap between exploration and practical end-user needs. Rosas also pioneered the "Liquid Exploration Online" (LEO) algorithm for complete coverage path planning, specifically optimized for skid-steer tracked robots in challenging terrains. His research on autonomous robot exploration using Behavior Trees for disaster scenarios (7 citations) addresses the critical need for robotic systems that can measure hazardous environments without endangering human rescuers. Additionally, his work on the IEC 63047 standard for data transmission in radiological and nuclear robotics applications demonstrates his commitment to creating interoperable, real-world deployable solutions. Through his innovative planning algorithms and standards contributions, Rosas is advancing the frontier of autonomous robotics for safety-critical applications.