Jukka Koskinen
Papers
13
Total Citations
151
H-Index
6
About
Jukka Koskinen is a leading researcher in industrial robotics, specializing in flexible automation for small-batch manufacturing and human-robot collaboration. His work centers on making robot programming accessible and efficient, with major contributions in intuitive task-level programming through online walk-through teaching—enabling operators to create robot programs rapidly without specialized coding. Koskinen has also advanced sensor-based flexibility, developing calibration procedures for object-locating sensors and 3D camera-based pose estimation using CAD models, which allow robots to adapt to varying parts and environments. His most cited work, "Hard material small-batch industrial machining robot" (60 citations), highlights his impact on practical, high-precision manufacturing. Additionally, his development of impedance control for human/robot interactive handling of heavy loads demonstrates a commitment to safe, cooperative systems where humans guide robots as load carriers. With over 140 total citations, Koskinen’s research bridges the gap between theoretical robotics and real-world industrial applications, notably through the R3-COP decision support system for autonomous robot design and smart manufacturing testbeds leveraging 5G connectivity. His achievements underscore a career dedicated to democratizing robotics for agile, networked production.
Research Focus
Key Achievements
Top Papers
- 1Hard material small-batch industrial machining robot60 citations · 2017
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- 9Sensor based flexibility for robotics in manufacturing applications5 citations · 2009
- 10Smart Manufacturing Multi-Site Testbed with 5G and Beyond Connectivity5 citations · 2021