Nathan Ludlow

Nathan is a third-year mechanical engineering student at Brigham Young University. His academic pursuit and research are concentrated at the intersection of Human-Robot Interaction and Reinforcement Learning. He’s interested in the study of intelligent algorithms that facilitate self-adaptation and versatile task performance in robots, thereby enhancing their ability to assist and collaborate with humans. Nathan’s ambition is to contribute innovative advancements to the field of robotics that will promote safer and more efficient human-robot interactions. Currently, his research at the BYU Robotics and Dynamics Lab is focused on the co-manipulation of large objects in unpredictable environments by humans and autonomous multi-agent robotic systems. This summer, he’s excited to broaden his scope of study to encompass human driver modeling for autonomous vehicles, employing reinforcement learning. Nathan feels it is a privilege to collaborate with Dr. John Dolan and Yiwei Lyu, whose mentorship is invaluable to his development as a researcher. He would like to express his sincere gratitude to the organizers and sponsors of RISS, whose dedication facilitates extraordinary opportunities for emerging researchers.