Adam Ziębiński

Associate Professor

Silesian University of Technology

Poland

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About

Adam Ziębiński is an Associate Professor at the Silesian University of Technology in Poland. His research areas include sensor calibration, machine learning applications in distance measurement, and smart manufacturing technologies. He has published several articles focusing on the accuracy of LiDAR systems, damage detection in industrial tools, and the challenges faced in autonomous guided vehicles. Prof. Ziębiński contributes significantly to the fields of sensor technology and intelligent systems for Industry 4.0.

Articles (11)

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2025

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2024

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (6)

Jacek Stój

Asistant Professor

Silesian University of Technology

POLAND

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Krzysztof Paszek

Silesian University of Technology

POLAND

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Krzysztof Hanzel

Silesian University of Technology

POLAND

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Andreas Becker

Professor

Fachhochschule Dortmund

GERMANY

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Rafal Cupek

University Professor

Silesian University of Technology

POLAND

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Damian Grzechca

Associate Professor

Silesian University of Technology

POLAND

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Adam Ziębiński

Research Interests

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Articles (11)

How Accurate Can 2D LiDAR Be? A Comparison of the Characteristics of Calibrated 2D LiDAR Systems

Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0

Damage Detection of Coated Milling Tools Using Images Captured by Cylindrical Shaped Enclosure Measurement Setup

The Adaptive Calibration Method for Single-Beam Distance Sensors

A survey of methods and technologies used for diagnosis of scoliosis

A Survey of Methods and Technologies Used for Diagnosis of Scoliosis

Challenges Associated with Sensors and Data Fusion for AGV-Driven Smart Manufacturing

How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System

Autonomous Guided Vehicles for Smart Industries - The State-of-the-Art and Research Challenges

Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology

Collaborators (6)

Jacek Stój

Krzysztof Paszek

Krzysztof Hanzel

Andreas Becker

Rafal Cupek

Damian Grzechca

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