Daniel Ehmann

Papers

Total Citations

H-Index

About

Daniel Ehmann is a researcher focused on the intersection of industrial robotics and virtual reality, with a particular emphasis on simplifying automation engineering for the era of Industry 4.0. His most-cited work, "The idea of Virtual Teach-In in the field of industrial robotics" (2018, 7 citations), introduces a novel concept for using virtual reality methods to support the engineering process of industrial robots. This approach addresses the growing complexity of automated production systems driven by the Industrial Internet of Things (IIoT) and smart manufacturing. By proposing a "Virtual Teach-In," Ehmann aims to make robot programming more intuitive and accessible, reducing the time and cost associated with traditional physical teach pendants. His work contributes to bridging the gap between advanced digital tools and practical industrial applications, offering a pathway toward more flexible and efficient automation. While his citation count reflects an emerging rather than established profile, Ehmann’s focus on human-robot interaction and immersive simulation positions him as a forward-thinking contributor to the future of manufacturing technology.