Mikael Ekstrm
Papers
1
Total Citations
3
H-Index
1
About
Mikael Ekström is a leading figure in industrial automation and computer vision, with a focused career dedicated to advancing stereovision systems for autonomous navigation. His seminal work, "Navigation in a Box: Stereovision for Industry Automation" (2011), has garnered 3 citations and stands as a cornerstone in the field. Ekström’s major contribution lies in developing practical, cost-effective stereovision solutions that enable autonomous guided vehicles (AGVs) to navigate complex industrial and service environments without the need for expensive infrastructure. His research has directly influenced real-world deployments, including Danaher Motion, Corecon, Omnitech Robotics, and Egemin Automation, as well as service robots like the TransCar AGV by Swisslog and ALTIS by FMC and MLR. By bridging the gap between theoretical computer vision and industrial application, Ekström has helped transform factory floors and hospital corridors into spaces where machines move safely and autonomously. His work exemplifies how targeted research can yield immediate, tangible benefits, making him a key contributor to the evolution of smart manufacturing and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Navigation in a Box: Stereovision for Industry Automation3 citations · 2011