Michal Vocetka
Papers
9
Total Citations
145
H-Index
7
About
Michal Vocetka is a robotics researcher whose work bridges the gap between human intention and machine precision. His primary research areas include human-robot collaboration, industrial robot repeatability, and soft robotic gripping. Vocetka’s most significant contribution is his work on improving mutual understanding in human-robot teams, where he combined human-aware motion planning with haptic feedback devices—a paper that has garnered 51 citations and is foundational for safer, more intuitive collaboration. He has also made critical advances in industrial robotics, demonstrating that a robot’s approach direction significantly affects its repeatability (24 citations) and developing a compensation method for thermal drift to maintain accuracy in varying conditions (21 citations). Beyond these, Vocetka has explored structural optimization of FinRay fingers for adaptive grasping (15 citations) and camera-based calibration methods for robotic workcells (12 citations). His work on two-handed collaborative robots and 3D-printed flexible gripper inserts further showcases his practical, application-driven approach. With a focus on enhancing both safety and performance, Vocetka’s research is shaping the next generation of adaptable, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Influence of Drift on Robot Repeatability and Its Compensation21 citations · 2021
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- 5Camera-Based Method for Identification of the Layout of a Robotic Workcell12 citations · 2020
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