Max Robotics — Global Service Robot Directory + US Certification

About

Ingrid Scholl’s research bridges the gap between intuitive human-robot interaction and robust autonomous navigation in challenging, unstructured environments. Her primary contributions lie in teleoperation interfaces, 3D mapping for underground exploration, and the integration of additive manufacturing with robotic precision. She is best known for her work on “Intuitive visual teleoperation for UGVs using free-look augmented reality displays,” which has garnered 33 citations and demonstrates a novel approach to rapidly surveying hazardous sites. Scholl has also advanced continuous underground mapping and exploration, developing systems that enable robots to autonomously navigate and model complex subterranean spaces like mines. Her work on improving additive manufacturing through image processing and robotic milling addresses critical surface-quality issues in 3D-printed components. More recently, she has explored lifelong mapping for autonomous open-pit mining operations, leveraging semantic map formats like Lanelet 2 to ensure long-term autonomy. Scholl’s research is characterized by a practical, systems-level focus—combining low-cost robot design (e.g., the MQOne platform) with sophisticated perception and control algorithms. Her work has direct applications in search and rescue, industrial automation, and mining, making her a key figure in advancing field robotics for real-world deployment.