Kristian Johnsen

Western Norway University of Applied Sciences

Papers

Total Citations

H-Index

About

Kristian Johnsen’s research bridges theoretical mechanics and applied robotics, with a focus on gyroscopic control, vehicle dynamics, and pedagogical innovation. His most-cited work, “Part 2: Gyroscopic Control of Robotic Smart Vehicles Using SE(3)” (2023), introduces the Moving Frame Method (MFM) to analyze gyroscopic-induced pitch in cars, offering a novel framework for stabilizing autonomous vehicles. This paper, alongside its companion (Part 1), not only advances control theory through the lens of SE(3) geometry but also reimagines engineering education by embedding research within a senior design project. With 2 citations to date, Johnsen’s contributions are gaining traction for their dual impact: they provide a rigorous mathematical tool for roboticists while serving as a replicable model for curriculum reform. His work exemplifies how complex topics like gyroscopic control can be made accessible, fostering deeper learning in smart vehicle design. Johnsen’s approach—merging cutting-edge research with pedagogical intent—positions him as a forward-thinking educator and engineer, whose methods promise to shape both the next generation of autonomous systems and the way students engage with them.