Papers
8
Total Citations
110
H-Index
3
About
Karin Nachbagauer is a leading researcher in multibody dynamics and optimal control, with a focus on developing efficient computational methods for time-critical robotic and aerospace applications. Her major contributions center on the innovative use of the adjoint method for solving optimization problems in multibody dynamics, particularly for time-optimal control under final constraints. Her most cited work, "The Use of the Adjoint Method for Solving Typical Optimization Problems in Multibody Dynamics" (2014, 72 citations), demonstrates the method's potential for inverse dynamics and parameter identification, establishing a foundation for her subsequent research. She has advanced this approach to address time-optimal control problems in robotics, such as rest-to-rest maneuvers, and even applied it to complex scenarios like moon landing ascent, descent, and abort trajectories (2020). Her recent work extends into human-robot collaboration, as seen in "VRoboCoop" (2024), which integrates human kinematics into workflow modeling for proactive path planning. With a growing citation impact and a trajectory from theoretical foundations to practical applications in Industry 5.0, Nachbagauer's research bridges rigorous mathematical optimization with real-world robotic and aerospace challenges, making her a notable figure in computational dynamics.
Research Focus
Key Achievements
Top Papers
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- 3Time-Optimal Control of Dynamic Systems Regarding Final Constraints12 citations · 2020
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