Lukas Stranovsky
Papers
1
Total Citations
2
H-Index
1
About
Lukas Stranovsky is a researcher at the intersection of human-robot interaction and virtual reality, with a focus on developing safe and intuitive collaboration between people and industrial robots. His work addresses a critical challenge in modern manufacturing: how to make robotic systems predictable and trustworthy for human coworkers. In his most-cited paper, "Collaborative Meat Processing in Virtual Reality: Evaluating Perceived Safety and Predictability of Robot Approach" (2018), he introduced a VR platform designed to study how robots can signal their intentions and act predictably to enhance perceived safety. Though early in his career, with 2 citations to this foundational work, Stranovsky’s research lays important groundwork for designing collaborative robotic systems that prioritize human comfort and trust. His use of immersive virtual environments as a testbed for human-robot interaction is a notable methodological contribution, enabling safe, repeatable studies of complex collaborative scenarios. As the push toward Industry 5.0 grows, Stranovsky’s insights into mutual understanding between humans and machines will become increasingly valuable for shaping the future of human-centered automation.
Research Focus
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Top Papers
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