Max Robotics — Global Service Robot Directory + US Certification

About

Eugen Funk is a researcher at the intersection of robotics, edge computing, and 3D computer vision, whose work is shaping the future of smart manufacturing and autonomous systems. His primary research areas include edge-enabled autonomous navigation, semantic local planning for mobile robots, and large-scale 3D reconstruction. Funk’s major contributions lie in demonstrating how offloading computationally intensive tasks—such as computer vision and path optimization—from mobile robots to edge infrastructure can significantly reduce onboard energy consumption while enhancing software lifecycle management. His 2019 studies on “Cognitive Edge for Factory” and “Edge-Enabled Autonomous Navigation” (each with 10 citations) provide foundational case studies for campus networks enabling smart intralogistics, showing how mobile autonomous transport systems can overcome WiFi reliability issues in harsh factory environments. In 3D reconstruction, Funk developed a regularized volumetric fusion framework (8 citations) and a recursive total variation filtering approach (4 citations) that enable boundless, sparse 3D modeling volumes—critical for both offline inspection and real-time robotic applications. His work on semantic local planning (3 citations) further advances service-based offloading architectures. With a portfolio spanning 2016 to 2020, Funk’s research offers practical, energy-efficient solutions for flexible production organization, making him a key contributor to the edge robotics and Industry 4.0 landscape.