Max Studt
Papers
1
Total Citations
7
H-Index
1
About
Max Studt is a robotics researcher whose work centers on the modeling, identification, and control of dynamically balancing robots, with a particular focus on ballbots—machines that balance and maneuver atop a single sphere. His major contribution lies in advancing the practical deployment of these inherently unstable systems by developing robust parameter identification techniques that work under real-world, closed-loop conditions. In his most cited work, "Parameter Identification and LQR/MPC Balancing Control of a Ballbot" (2022, 7 citations), Studt introduces a method that leverages known model structures and indirect closed-loop identification to avoid biased parameter estimates, a critical step for achieving reliable control. This work directly enables the effective use of Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC) strategies for balancing. By bridging the gap between theoretical control design and physical system reality, Studt’s research provides a foundational toolkit for engineers working on agile, wheel-less mobile robots, making his contributions essential reading for students and researchers in robotics, control systems, and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1Parameter Identification and LQR/MPC Balancing Control of a Ballbot7 citations · 2022