Krzysztof Ciebiera
Papers
1
Total Citations
2
H-Index
1
About
Krzysztof Ciebiera’s research lies at the intersection of robotics, machine learning, and automation, with a particular focus on semi-supervised learning for robotic manipulation. His most-cited work, “Grasping Student: semi-supervised learning for robotic manipulation” (2023), addresses a critical bottleneck in robotics: the high cost of gathering real-world training data. By designing a system that leverages a small sample of robot experience alongside readily available product images, Ciebiera enables robots to learn grasping tasks more efficiently and with less direct human intervention. This approach not only reduces the time and expense of data collection but also improves the adaptability of robotic systems in dynamic environments. Although his citation count is still growing, his contributions are already recognized for their practical implications in industrial automation and warehouse logistics. Ciebiera’s work exemplifies how clever algorithmic design can bridge the gap between limited real-world data and robust robotic performance, making him a promising voice in the field of robot learning and manipulation.
Research Focus
Key Achievements
Top Papers
- 1Grasping Student: semi-supervised learning for robotic manipulation2 citations · 2023