Kai Eggers
Papers
4
Total Citations
31
H-Index
4
About
Kai Eggers is a researcher focused on enhancing the energy efficiency of industrial robotics and production systems. His work addresses a critical challenge in modern manufacturing: reducing the substantial energy consumption of industrial robots without compromising performance. Eggers’ most impactful contribution is his development of a temperature-dependent modeling approach for robot energy consumption, which significantly improves the accuracy of power demand predictions by accounting for how heat affects joint friction. This work, published in 2018 and garnering 18 citations, provides a practical method for more precise energy modeling. He has also explored optimizing Point-to-Point (PTP) motions by strategically adding via-points to minimize energy use, and has investigated the synthesis of controllers that exploit braking energy recuperation—synchronizing acceleration and deceleration phases across robot axes to reuse energy directly. Additionally, Eggers has examined the fundamental trade-off between travel time and energy efficiency, offering insights for balancing productivity with sustainability. His research is highly relevant for engineers and researchers seeking to design greener, more cost-effective automated systems, bridging the gap between theoretical energy models and real-world robotic applications.
Research Focus
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