Benjamin Passenberg
Papers
2
Total Citations
9
H-Index
2
About
Benjamin Passenberg is a researcher whose work lies at the intersection of optimal control and robotic manipulation, with a focus on enhancing the autonomy and efficiency of industrial robots. His major contributions center on developing advanced trajectory planning and motion control algorithms that enable robotic manipulators to move more safely, smoothly, and efficiently. In his most-cited paper (2010, 6 citations), Passenberg proposed an embedded optimizer for improving motion by generating feasible joint trajectories that maximize performance criteria, addressing critical challenges in path planning for industrial settings. He further advanced the field with a 2011 study (3 citations) introducing a method for optimal concatenation of linear-quadratic (LQ) control primitives, allowing complex motions to be built from parameterized, optimal building blocks. Though his citation counts are modest, Passenberg’s work represents a foundational step toward integrating real-time optimization into robotic control systems—a key challenge in modern automation. His research is particularly valuable for students and engineers interested in practical, computationally efficient approaches to motion planning in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Improving motion of robotic manipulators by an embedded optimizer6 citations · 2010
- 2