Maximilian Amm
Papers
1
Total Citations
7
H-Index
1
About
Maximilian Amm is a systems engineering researcher whose work focuses on advancing Model-Based Systems Engineering (MBSE) for complex, time-sensitive applications. His most-cited paper, "MBSE Incorporating Time-Dependent Behavior for the Design of Robot-Like Systems" (2023, 7 citations), introduces a novel approach that integrates SysML models with the V-Model framework to capture temporal dynamics in robotic systems. This contribution addresses a critical gap in traditional MBSE, which often struggles to represent evolving system behaviors over time. By enabling engineers to model time-dependent interactions among components, Amm’s work enhances the design and validation of autonomous and robot-like systems, improving their reliability and performance. His research has practical implications for industries developing complex mechatronic systems, from manufacturing robotics to autonomous vehicles. Though early in his career, Amm’s targeted focus on time-dependent MBSE has already garnered attention, laying a foundation for more robust, simulation-driven systems engineering practices. His work stands out for bridging abstract modeling standards with real-world temporal constraints, offering a valuable tool for researchers and practitioners tackling modern engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1