Jakub Rozlivek
Papers
8
Total Citations
124
H-Index
6
About
Jakub Rozlivek is a robotics researcher whose work centers on making human-robot collaboration safer, more precise, and more intuitive. His primary research areas include robot kinematic calibration, human keypoint detection for close-proximity interaction, and the design of protective soft skins for collaborative manipulators. Rozlivek’s most impactful contribution is a novel, self-contained calibration method for dual-arm robots that combines self-contact, planar constraints, and self-observation—a technique that has garnered 45 citations and significantly advances autonomous robot accuracy. He has also pioneered the study of human keypoint detectors in the challenging context of close-proximity HRI, where only partial body views are available, earning 26 citations for this work. His investigations into active and passive soft skins (23 citations) provide critical insights into reducing collision forces during human-robot collaboration. Beyond individual papers, Rozlivek developed a multisensorial robot calibration framework and toolbox, and contributed to the HARMONIOUS project, which integrates reactive motion control with multimodal perception for humanoid robots. His research consistently bridges theoretical modeling with practical safety standards, such as ISO/TS 15066, making his work essential for engineers designing next-generation collaborative systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Keypoint Detection for Close Proximity Human-Robot Interaction26 citations · 2022
- 3
- 4Multisensorial robot calibration framework and toolbox10 citations · 2021
- 5
- 6
- 73D Collision-Force-Map for Safe Human-Robot Collaboration2 citations · 2021
- 8Human keypoint detection for close proximity human-robot interaction2 citations · 2022