John R. Rogers

Stanford Medicine, United States Military Academy, American Military Academy

Papers

Total Citations

105

H-Index

About

John R. Rogers is a leading figure in autonomous robotics and mechatronics education, with his most influential work, “Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation” (2007, 84 citations), pioneering self-supervised learning techniques that allow robots to adapt navigation in real-time without labeled data. This foundational contribution has shaped modern adaptive autonomy. Rogers also advanced accessible robotics through his “Low-cost teleoperable robotic arm” (2009, 12 citations), demonstrating how affordability can democratize robotic manipulation. At the United States Military Academy at West Point, he revolutionized mechatronics pedagogy with “Learning Mechatronics Through Graduated Experimentation” (2020, 5 citations), creating a scaffolded curriculum that bridges theory and practice for senior engineering students. His work on “Graphical microcontroller programming” (2012, 4 citations) further addressed a critical gap, enabling mechanical engineering students with limited programming background to rapidly prototype robotic algorithms. Rogers’s research uniquely combines technical innovation with educational impact, making him a pivotal contributor to both autonomous navigation and engineering instruction.