Ola Skeik
Papers
2
Total Citations
22
H-Index
2
About
Ola Skeik is a researcher specializing in control systems, robotics, and automation, with a focus on cooperative control and precision manufacturing. Their key contributions lie in applying negative imaginary (NI) systems theory to solve the rendezvous problem for multiple mobile robots, as detailed in their most-cited 2019 paper (19 citations). This work proposes cooperative control strategies for integrator NI systems that can be directly implemented on wheeled mobile robots, advancing decentralized multi-agent coordination. Skeik also addresses industrial automation challenges, notably in their 2022 study on 6D pose estimation for precision assembly (3 citations). Motivated by the manual assembly of complex products like concentrator photovoltaics solar panel units, this research targets improving efficiency, precision, and throughput in automated manufacturing. By bridging theoretical control frameworks with practical robotic applications, Skeik’s work demonstrates tangible impact in both academic and industrial contexts. Their research is particularly valuable for students and engineers interested in multi-robot systems, NI theory, and vision-guided automation.
Research Focus
Key Achievements
Top Papers
- 1
- 26D Pose Estimation for Precision Assembly3 citations · 2022