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Using machine vision for robot guidance
Gábik, Jaroslav ; Štěpánek, Vojtěch (referee) ; Vetiška, Jan (advisor)
With the development of machine vision technologies, new applications that can increase production, versatility or simplicity of production systems are widely spread. This thesis deals with usage of machine vision for robot guidance. The task consists of creating a technique and its practical realization, where the proposed assumptions are verified. The main objective is to determine 3D position and orientation of a sheet metal part or subassembly of the body-in-white, which is lying within the reach of an industrial robot with respect to its base coordinate system. The proposed method is suitable for several types and dimensions of components, which meet certain requirements. Targeting the component is carried out by scanning significant points on the component with the help of the 3D scanner attached to the robot flange. Afterwards, gained data are processed in a designed programme. The theoretical part is focused on research in the field of machine vision, accuracy of industrial robots, compensation of their errors and manipulation and assembly of the sheet metal parts in automotive. Finally, an evaluation and recommendations for practice are provided.
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Using machine vision for robot guidance
Gábik, Jaroslav ; Štěpánek, Vojtěch (referee) ; Vetiška, Jan (advisor)
With the development of machine vision technologies, new applications that can increase production, versatility or simplicity of production systems are widely spread. This thesis deals with usage of machine vision for robot guidance. The task consists of creating a technique and its practical realization, where the proposed assumptions are verified. The main objective is to determine 3D position and orientation of a sheet metal part or subassembly of the body-in-white, which is lying within the reach of an industrial robot with respect to its base coordinate system. The proposed method is suitable for several types and dimensions of components, which meet certain requirements. Targeting the component is carried out by scanning significant points on the component with the help of the 3D scanner attached to the robot flange. Afterwards, gained data are processed in a designed programme. The theoretical part is focused on research in the field of machine vision, accuracy of industrial robots, compensation of their errors and manipulation and assembly of the sheet metal parts in automotive. Finally, an evaluation and recommendations for practice are provided.
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A system for 3D localization of gamma sources using Timepix3-based Compton cameras
Mánek, Petr ; Zavoral, Filip (advisor) ; Vinárek, Jiří (referee)
Compton cameras localize γ-ray sources in 3D space by observing evidence of Compton scattering with detectors sensitive to ionizing radiation. This thesis proposes a software system for operating a novel Compton camera device comprised of Timepix3 detectors and Katherine readouts. To communicate with readouts using UDP-based protocol, a dedicated hardware library was developed. The presented software can successfully control the acquisition of multiple Timepix3 detectors and simultaneously process their measurements in a real-time setting. To recognize instances of Compton scattering among observed interactions, a chain of algorithms is applied with explicit consideration for a possibly high volume of measured information. Unlike alternate approaches, the presented work uses a recently published charge drift time model to improve its spatial resolution. In order to achieve localization of γ-ray sources, the software performs conical back projection into a discretized cuboid volume. Results of randomized evaluation with simulated data indicate that the presented implementation is correct and constitutes a viable method of γ-ray source localization in 3D space. Experimental verification with a prototype model is in progress.
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