Max Robotics — Global Service Robot Directory + US Certification

About

Martin Rudorfer is a robotics researcher whose work sits at the intersection of autonomous manufacturing, robotic manipulation, and human-robot interaction. His major contributions center on making industrial robots more flexible and accessible—a critical need for modern high-mix, low-volume production. Rudorfer’s most cited work, "Robots assembling machines: learning from the World Robot Summit 2018 Assembly Challenge" (26 citations), provides a landmark analysis of autonomous assembly systems, covering bin picking, kitting, and 2D/3D part assembly. He has also advanced the fundamental skill of robotic grasping with "End-to-End Learning to Grasp via Sampling From Object Point Clouds" (26 citations), which bridges simulation and real-world performance. Beyond manipulation, Rudorfer has explored cloud-based robot control (23 citations) and intuitive programming with augmented reality in "Holo Pick'n'Place" (15 citations). His service-oriented architecture for manufacturing, demonstrated at the World Robot Challenge 2018, and his open-source BURG-Toolkit for benchmarking robotic grasping reflect a commitment to reproducible, deployable research. With a portfolio spanning cloud control, AR programming, and robust perception, Rudorfer is shaping the future of agile, intelligent manufacturing systems.