Boris Kostov
Papers
10
Total Citations
53
H-Index
5
About
Boris Kostov is an applied robotics researcher whose work sits at the intersection of industrial automation, machine vision, and intelligent control systems. His research focuses primarily on 6-axis industrial robots — particularly Mitsubishi MELFA platforms — with a strong emphasis on improving the precision, efficiency, and intelligence of robotic pick-and-place operations. Kostov's most recognized contributions involve developing and iteratively refining algorithms that integrate 2D visual inspection cameras with robotic manipulators for accurate object capture, orientation, and placement, culminating in the application of machine learning to further enhance these systems (each earning 9 citations). His work on 3D sensor-based robot coordinate calibration (8 citations) and automated camera-as-tool calibration (5 citations) demonstrates a consistent drive to reduce setup complexity while increasing reliability. Beyond vision systems, Kostov has investigated robot programming methodologies, gripper performance comparisons, and the relationship between speed and positional accuracy in MELFA robots. His 2023 study on cycle time optimization reflects a practical, industry-facing perspective on maximizing manufacturing throughput. With over 50 cumulative citations across a focused body of work, Kostov represents a pragmatic and technically rigorous voice in modern industrial robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Implementation Of Robot Get-Position-Quick Function To MELFA Robots6 citations · 2022
- 5
- 6Cognex 2D Camera Calibration as 6-axis Robot Tool Automation5 citations · 2021
- 7Programming Methods Comparison in Mitsubishi MELFA Robots4 citations · 2022
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- 9Accuracy and Repeatability Dependency from Speed about MELFA Robots2 citations · 2023
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