Tomas Kubela
Papers
9
Total Citations
132
H-Index
6
About
Tomas Kubela is a robotics researcher whose work centers on two interconnected domains: robotic machining accuracy and vision-based robotic manipulation. Over the course of his career, he has made substantial contributions to advancing the practical deployment of industrial robots in demanding manufacturing environments, accumulating over 130 citations across his published work. Kubela's most influential research addresses a critical limitation of standard six-degrees-of-freedom industrial robots — their positional inaccuracy relative to dedicated CNC machinery. His 2016 study on robot accuracy in machining processes (37 citations) and a complementary 2015 investigation into online accuracy improvement methods (18 citations) together established a rigorous framework for compensating robot errors in real time, making robotic milling a more commercially viable alternative to traditional five-axis machines. In parallel, Kubela has been a persistent contributor to the bin-picking problem, developing vision-based systems capable of identifying and grasping randomly oriented, interlocked objects — a longstanding challenge in industrial automation. His 2012 paper on 3D vision systems for bin-picking attracted 24 citations, building on earlier experimental work from 2010. He has also explored force-torque control for finishing operations and co-simulation strategies for omnidirectional mobile robots, demonstrating a broad command of robotics system design and control.
Research Focus
Key Achievements
Top Papers
- 1
- 23D vision systems for industrial bin-picking applications24 citations · 2012
- 3Robotic Vision for Bin-Picking Applications of Various Objects19 citations · 2010
- 4
- 5
- 6
- 7
- 8Robotic bin-picking system based on a revolving vision system6 citations · 2017
- 9
Key Collaborators
Related papers
- Assessment of industrial robots accuracy in relation to accuracy improvement in machining processes
- Investigation of position accuracy of industrial robots and online methods for accuracy improvement in machining processes
- Robotic Vision for Bin-Picking Applications of Various Objects
- Robust Motion Generation for Vision-Guided Robot Bin-Picking
- Robotic bin-picking system based on a revolving vision system
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