Jyrki Latokartano
Papers
21
Total Citations
718
H-Index
8
About
Jyrki Latokartano is a Finnish researcher whose work sits at the intersection of robotics, human-robot collaboration (HRC), and industrial manufacturing safety. Based at Tampere University, his research has significantly advanced our understanding of how humans and robots can work safely and efficiently alongside one another in real-world manufacturing environments. His most influential contributions include a depth-sensor-based safety monitoring framework for HRC (243 citations) and a comprehensive review of vision-based safety systems (143 citations), both of which have become foundational references in the field. Latokartano has also made important contributions to the application of augmented and virtual reality in collaborative robotics, with his 2021 review of VR/AR solutions in HRC accumulating 127 citations and reflecting the growing importance of immersive technologies in industrial settings. His work spans practical challenges such as task balancing between humans and robots in assembly, virtual safety training, and agile manufacturing solutions for SMEs. Earlier in his career, he contributed to laser cladding research, demonstrating breadth across engineering disciplines. With a body of work totaling over 670 citations, Latokartano remains a key voice in shaping safer, more intelligent human-robot collaborative systems for modern industry.
Research Focus
Key Achievements
Top Papers
- 1AR-based interaction for human-robot collaborative manufacturing243 citations · 2019
- 2Review of vision-based safety systems for human-robot collaboration143 citations · 2018
- 3Review on existing VR/AR solutions in human–robot collaboration127 citations · 2021
- 4Safety of Interactive Robotics—Learning from Accidents35 citations · 2010
- 5Task Balancing Between Human and Robot in Mid-Heavy Assembly Tasks33 citations · 2019
- 6
- 7Concept for Virtual Safety Training System for Human-Robot Collaboration26 citations · 2020
- 8Technology Modules Providing Solutions for Agile Manufacturing18 citations · 2023
- 9Benchmarking pose estimation for robot manipulation8 citations · 2021
- 10