Papers
6
Total Citations
172
H-Index
5
About
Fredrik Ekstedt is a researcher specializing in industrial robotics, manufacturing optimization, and automated production systems, with a particular focus on multi-robot coordination and automotive manufacturing processes. His work addresses some of the most computationally challenging problems in modern smart manufacturing, where efficiency and precision are critical competitive advantages. Ekstedt's most influential contribution, "An Iterative Approach for Collision Free Routing and Scheduling in Multirobot Stations" (2015, 69 citations), tackles the complex problem of coordinating multiple industrial robots in shared workspaces to minimize cycle time — a key productivity metric in automotive assembly. His equally impactful work on optimizing robotic spray painting trajectories (2022, 61 citations) addresses quality-critical finishing processes, particularly relevant where perceived product quality depends on painting precision and smoothness. Beyond individual stations, Ekstedt has made industrially validated contributions to weld load balancing across multi-station sheet metal assembly lines, helping manufacturers maximize equipment utilization across entire production systems. His earlier foundational work on throughput maximization through motion coordination and his research on improved spray paint simulation using density estimation further demonstrate a career spanning both theoretical optimization and practical industrial application. His research collectively helps manufacturers reduce costs, improve quality, and deploy robotics more effectively.
Research Focus
Key Achievements
Top Papers
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- 2Generating Optimized Trajectories for Robotic Spray Painting61 citations · 2022
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