Papers
2
Total Citations
3
H-Index
1
About
Ingo Hahn is a researcher advancing the field of industrial robotics through a focus on energy-efficient motion planning and trajectory optimization. His work centers on the critical challenge of reducing energy consumption in robot arm manipulators, a key factor for sustainable and cost-effective manufacturing. In his highly cited 2020 paper, Hahn introduced a novel cost function for kinodynamic motion planning of a 2-DOF robot arm, meticulously modeling inertia, friction, and Coriolis losses to minimize energy waste during movement. Building on this foundation, his 2024 study on the 6-DoF UR3e robot arm provides an experimental framework for estimating energy consumption during trajectory planning, directly addressing the needs of modern human-robot collaborative scheduling. By quantifying energy use in real industrial settings, Hahn’s contributions offer practical tools for engineers to enhance production efficiency while reducing operational costs. His work bridges the gap between theoretical dynamics and applied robotics, making him a valuable voice in the push toward smarter, greener automation.
Research Focus
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Top Papers
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