Petr Cihak
Papers
3
Total Citations
49
H-Index
3
About
Petr Cihak is a robotics and computer vision researcher whose work centers on one of industrial automation's most persistent challenges: the bin-picking problem. His research focuses on developing intelligent vision-based systems that enable robots to reliably detect, identify, and grasp randomly oriented, interlocked, and jumbled objects from bins — a task with enormous practical implications for modern manufacturing and logistics. Cihak's most influential contribution, "3D Vision Systems for Industrial Bin-Picking Applications" (2012), has accumulated 24 citations and represents a significant step forward in applying three-dimensional imaging to real-world robotic grasping scenarios. Building on earlier experimental foundations established in his 2010 paper "Robotic Vision for Bin-Picking Applications of Various Objects" (19 citations), he helped advance the state of the art at a time when the field was rapidly maturing. His 2017 work on revolving vision systems further demonstrates his continued commitment to refining practical, deployable solutions. Across his career, Cihak has bridged the gap between theoretical robotic perception and industrial application, contributing to a growing body of research that addresses a substantial and expanding market. His work remains a useful reference for engineers and researchers tackling automation challenges in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 13D vision systems for industrial bin-picking applications24 citations · 2012
- 2Robotic Vision for Bin-Picking Applications of Various Objects19 citations · 2010
- 3Robotic bin-picking system based on a revolving vision system6 citations · 2017
Key Collaborators
Related papers
- Robotic Vision for Bin-Picking Applications of Various Objects
- 3D vision systems for industrial bin-picking applications
- Robotic bin-picking system based on a revolving vision system
- Automated 3D vision guided bin picking process for randomly located industrial parts
- Vision-based bin picking system for industrial robotics applications
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