Daniel Goldmann

Papers

Total Citations

154

H-Index

About

Daniel Goldmann is a prominent researcher at the intersection of robotics, automation, and circular economy, with a particular focus on advancing sustainable end-of-life product processing. His work addresses one of the most pressing challenges in modern manufacturing: making disassembly processes economically viable through intelligent automation. Goldmann's highly cited 2020 review, "Disassembly 4.0" (101 citations), provided a comprehensive roadmap for integrating robotics, artificial intelligence, and Internet of Things technologies into disassembly workflows, establishing a foundational reference for the field. Building on this, his 2021 contribution on information-driven robotic disassembly (51 citations) demonstrated how data-rich approaches can simultaneously improve economic and ecological outcomes in end-of-life utilization. His research into robot cognition further pushes boundaries by developing adaptive, information-processing frameworks that enable machines to navigate the complex variability inherent in disassembly environments. Collectively, Goldmann's work has accumulated significant scholarly attention, with over 150 citations across his key publications, reflecting his growing influence in shaping how Industry 4.0 technologies can be harnessed to accelerate the transition toward a truly circular economy.