Papers
20
Total Citations
107
H-Index
6
About
Mikko Sallinen is a Finnish robotics researcher whose work sits at the intersection of sensor-based robotics, flexible manufacturing, and spatial calibration. His research has focused primarily on developing intelligent, adaptable robotic systems capable of operating effectively in dynamic industrial environments, particularly short-series and foundry manufacturing contexts. Sallinen's most significant contributions include pioneering methods for workobject localization using CAD models and B-spline surface representations, enabling robots to accurately identify and interact with complexly shaped objects. His hand-eye calibration techniques — developed for both multi-camera systems and 3D laser range sensors — provided practical, computationally efficient solutions that became valuable tools in sensor-based robotics. His most cited work (13 citations) introduced flexible localization methods for CAD-based robotics, while his holonic shot-blasting system demonstrated innovative applications of autonomous manufacturing architectures. Beyond calibration, Sallinen advanced the concept of "isles of automation" — reconfigurable, context-aware robotic workcells designed for flexible short-series production. His deburring and surface inspection systems for foundry castings illustrated how his theoretical frameworks translated into concrete industrial solutions. Collectively, his research helped lay groundwork for the intelligent, sensor-driven manufacturing systems that are central to modern Industry 4.0 thinking.
Research Focus
Key Achievements
Top Papers
- 1
- 2Flexible hand-eye calibration for multi-camera systems11 citations · 2002
- 3
- 4
- 5A Holonic Shot-blasting System7 citations · 2003
- 6A Simple Hand-Eye Calibration Method for a 3D Laser Range Sensor6 citations · 2000
- 7
- 8Sensor based flexibility for robotics in manufacturing applications5 citations · 2009
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- 10