Petr Švarný
Papers
8
Total Citations
67
H-Index
5
About
Petr Švarný is a leading researcher in safe human-robot collaboration, focusing on how industrial manipulators can work alongside humans without compromising safety or efficiency. His work spans soft protective skins, collision prevention, and sensor-based workspace monitoring. In his highly cited 2022 study on active and passive soft skins, he demonstrated how these materials reduce collision forces on collaborative robots, a finding with 23 citations that directly informs safer robot design. He also developed the concept of functional mode switching, which dynamically adjusts robot behavior based on biomechanical pain data to balance safety and task performance. Švarný’s research on collision preventing phase-progress control and speed and separation monitoring using RGB-D sensors has advanced real-time velocity adaptation and risk assessment, with several papers accumulating over 40 citations. Notably, he has explored social robotics in education, using a Pepper robot to deliver feedback during university lectures—a long-term study that bridges his technical safety work with human-robot interaction in learning environments. His contributions are shaping the next generation of collaborative robots that are both safer and more responsive to human presence.
Research Focus
Key Achievements
Top Papers
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- 5Functional Mode Switching for Safe and Efficient Human-Robot Interaction5 citations · 2022
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- 83D Collision-Force-Map for Safe Human-Robot Collaboration2 citations · 2021