ZEKERİYYA DEMİRCİ

ZEKERİYYA DEMİRCİ

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 February 2023 in Machines
Verified
Journal Article
Open access
PDF file
MOMetin Ozkan
Metin Ozkan
ZDZEKERİYYA DEMİRCİ
ZEKERİYYA DEMİRCİ
ÖYÖzge ASLAN YILDIZ
Özge ASLAN YILDIZ
AYAhmet YAZICI
Ahmet YAZICI
Software development for robotic systems is traditionally performed based on simulations, manual code implementation, and testing. However, this software development approach can cause safety issues in some scenarios, including multiple robots sharing a workspace. When different robots are executing individual planned tasks, they may collide when not adequately coordinated. Safety problems related to coordination between robots may not be encountered during testing, depending on timing, but may occur during the system’s operation. In this case, formal verification methods can provide a more reliable means to ensure the safety of robotic systems. This paper uses the formal method of model checking for the safety verification of multiple industrial robot manipulators with path conflicts. We give comparative results of two model-checking tools applied to a system with two robot manipulators. Whole workflows, from requirement specification to testing, are presented.

9 March 2023 in Sensors
Verified
Journal Article
Open access
PDF file
EGEsra Guclu
Esra Guclu
ÖÖÖzlem Örnek
Özlem Örnek
MOMetin Ozkan
Metin Ozkan
AYAhmet YAZICI
Ahmet YAZICI
ZDZEKERİYYA DEMİRCİ
ZEKERİYYA DEMİRCİ
This paper presents an efficient method for minimum distance calculation between a robot and its environment and the implementation framework as a tool for the verification of robotic systems’ safety. Collision is the most fundamental safety problem in robotic systems. Therefore, robotic system software must be verified to ensure that there are no risks of collision during development and implementation. The online distance tracker (ODT) is intended to provide minimum distances between the robots and their environments for verification of system software to inspect whether it causes a collision risk. The proposed method employs the representations of the robot and its environment with cylinders and an occupancy map. Furthermore, the bounding box approach improves the performance of the minimum distance calculation regarding computational cost. Finally, the method is applied to a realistically simulated twin of the ROKOS, which is an automated robotic inspection cell for quality control of automotive body-in-white and is actively used in the bus manufacturing industry. The simulation results demonstrate the feasibility and effectiveness of the proposed method.