Taneli Lohi

VTT Technical Research Centre of Finland

Papers

Total Citations

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About

Taneli Lohi is a researcher at the forefront of industrial robotics and intelligent manufacturing automation. His primary research areas include 3D computer vision, object detection and pose estimation, and skill-based robot programming—critical technologies for advancing Industry 4.0 and flexible manufacturing systems. Lohi’s most significant contribution is a feature-based object detection and pose estimation method that leverages 3D cameras and CAD models, enabling industrial robots to accurately locate and manipulate parts in unstructured environments. This work, published in 2022 and garnering 6 citations, provides a practical software framework where users select geometric features from CAD models for real-time matching against sensor data, directly addressing the need for adaptable, vision-guided automation. More recently, Lohi has explored skill-based robot programming (2024), focusing on reducing the complexity of robot deployment in response to rapid market changes and shorter innovation cycles. His research is particularly impactful for small and medium enterprises seeking to implement flexible, cost-effective automation without deep programming expertise. Through his work on vision systems and modular robot skills, Lohi is helping to shape the next generation of agile, software-driven manufacturing.