Stefan Axelsson
Papers
2
Total Citations
45
H-Index
2
About
Stefan Axelsson is a leading researcher in industrial robotics and human-robot collaboration, with a focus on safe, efficient assembly systems. His key research areas include collaborative operation, risk assessment, and the integration of large industrial robots in dynamic manufacturing environments. Axelsson’s major contributions center on enabling safe collaborative assembly on continuously moving production lines—a critical advancement for automotive and other high-volume industries. His most-cited work (2020, 35 citations) defines collaborative operation as a state where humans and robots share a workspace, emphasizing the need for rigorous safety standards and task-based risk reduction. A companion case study (2018, 10 citations) demonstrates practical implementation, showing how risk assessments can be applied to real-world automotive assembly. Together, these papers have shaped safety protocols and design principles for human-robot interaction, directly influencing how manufacturers deploy robots alongside human workers without compromising safety. Axelsson’s research bridges the gap between theoretical safety standards and industrial practice, making him a key figure in advancing collaborative robotics. His work is essential reading for engineers and researchers developing next-generation, human-centered automation systems.
Research Focus
Key Achievements
Top Papers
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