Max Robotics — Global Service Robot Directory + US Certification

About

Angelika Fetzner’s research is centered on advancing safe and intuitive human-robot interaction, particularly in industrial and service robotics. Her major contributions lie in developing multi-sensor perception systems that allow robots to understand and navigate dynamic, shared workspaces. She pioneered a 3D obstacle representation method using depth measurements and octree structures to model the robot’s reachable area, explicitly accounting for occlusions—a critical step for collision avoidance. Complementing this, she created a multi-sensor obstacle tracking framework that fuses heterogeneous sensor data to reliably detect and follow moving objects, ensuring human safety during close-proximity collaboration. Her work also extends to interactive manipulation, where she designed a discrete-continuous control concept for mobile robot arms to perform complex tasks like opening doors using both visual and force feedback. Though early in her career, her papers have each garnered 3–6 citations, establishing a foundation for high-impact work in safe robotics. Fetzner’s integrated approach—combining 3D environmental modeling, sensor fusion, and hybrid control—positions her as a promising voice in the quest for truly collaborative robots.