Jason Luck

Jason Luck is a Lockheed Martin Fellow specializing in autonomy and computer vision at Lockheed Martin MFC Autonomous Systems. With a background in video processing and robotics dating back to 1997, when he embarked on his graduate studies in Engineering Systems at Colorado School of Mines, Jason has an extensive history of leadership in innovative projects. During his pursuit of a Masters degree, he collaborated on projects at Sandia National Laboratories, focusing on developing three-dimensional models from imagery and point cloud data. His Ph.D. research led to the creation of a pioneering three-dimensional articulated human motion tracker, facilitating real-time interaction between robots and humans. Jason has overseen various notable projects, such as designing an autonomous ATV-sized robotic follower vehicle for the USSOCOM, spearheading driver assist technologies for a tier-one automotive vendor, and serving as the principal investigator for DARPA’s VIRAT program, successfully transitioning it from DARPA to the Army. He has also played a pivotal role in human factors research related to human-robotic teaming, developed 3D tracking algorithms for human-robot interaction, and designed immersive tracking and analysis environments for the security sector. Committed to enhancing global safety through advancements in robotic autonomy and computer vision, Jason Luck exemplifies a dedication to technological innovation and creating impactful solutions.