Laura Paulino

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About

Dr. Laura Paulino is a robotics researcher whose work centers on motion planning and autonomous vehicle control, with a particular emphasis on accessible, low-cost platforms for education and experimentation. Her most influential contribution, "Search Methods in Motion Planning for Mobile Robots" (2021), has garnered 18 citations, establishing a foundational resource for researchers exploring efficient pathfinding algorithms in dynamic environments. Dr. Paulino’s practical engineering acumen is further demonstrated in her work on "Design and Implementation of PID-Based Steering Control for 1/10-Scale Autonomous Vehicle" (2021, 5 citations), where she addresses the growing need for affordable, hands-on educational tools in autonomous systems. Recognizing the surge in interest around self-driving technology, she championed the development of a low-cost prototype vehicle that enables students to gain direct experience with critical smart navigation functionalities—from sensor integration to control logic. This dual focus on theoretical search methods and tangible, scalable implementation makes Dr. Paulino’s research particularly impactful for bridging the gap between classroom learning and real-world autonomous vehicle challenges. Her work continues to inspire a new generation of engineers by democratizing access to cutting-edge robotics research.