Marian Abagiu

About

Marian Abagiu is a researcher at the intersection of computer vision, machine learning, and robotics, with a focus on industrial automation and safety. Their most impactful work, "Detecting Machining Defects inside Engine Piston Chamber with Computer Vision and Machine Learning" (18 citations), demonstrates a practical solution for replacing human visual inspection in automotive manufacturing—a direct contribution to quality control and Industry 4.0. Abagiu also advanced mobile robotics for hazardous environments, developing deep neural networks for object detection (9 citations) and designing software architectures for rescue missions in chemical or explosive settings. Their work extends to 3D scanning for construction, human-machine interfaces for rehabilitation robotics, and even curriculum development for STEM computer vision courses. While their citation counts reflect a focused, applied career, the breadth of their contributions—from defect detection to rescue robotics—highlights a commitment to solving real-world problems where automation can save time, improve safety, and enhance precision. Abagiu’s research bridges cutting-edge AI with tangible industrial and humanitarian applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Detecting Machining Defects inside Engine Piston Chamber with Computer Vision and Machine Learning

   18 citations · 2023
2. 2
   Use of a Deep Neural Network for Object Detection in a Mobile Robot Application

   9 citations · 2020
3. 3
   Software Architecture for a Mobile Robot designed for Rescue Missions Support in Hazardous Environments

   3 citations · 2020
4. 4
   Using 3D Scanning Techniques from Robotic Applications in the Constructions Domain

   2 citations · 2022
5. 5
   Human-Machine Interfaces for Robotic System Control

   2 citations · 2018
6. 6
   Updating the Content of a Computer Vision Course for Students from the STEM Programs

   2 citations · 2022

Key Collaborators

Contact & Links