Max Robotics — Global Service Robot Directory + US Certification

About

Ingrid Fjordheim Onstein is a leading researcher in advanced manufacturing robotics, with a primary focus on automating hazardous and labor-intensive industrial processes. Her key research areas include robotic deburring, additive manufacturing, and intelligent tool-path generation. Onstein’s most significant contribution lies in developing adaptive, sensor-driven systems for automated deburring of cast parts—a task traditionally performed manually under dangerous conditions involving high noise and vibration. Her highly cited 2020 review on robotic deburring (28 citations) established a foundational framework for the field, while her subsequent work on 3D-scan-based tool trajectory generation (2023, 9 citations) introduced a flexible, cost-effective solution for handling highly variable casting burrs. She has also pioneered methods for additive manufacturing path generation using robot manipulators (2020, 7 citations), enabling large-scale 3D printing beyond the constraints of traditional gantry systems. Her cascading trade-off studies (2022) further advanced the practical deployment of robotic deburring systems. Through her innovative integration of structured light sensors and adaptive algorithms, Onstein is transforming manufacturing safety and efficiency, directly addressing the health and environmental concerns of manual deburring while pushing the boundaries of robotic automation.