Erol Şahin

E-mail

erol@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-2993-6879

Scopus Author ID

57189656417

Web of Science Researcher ID

B-1361-2016

Predictive search model of flocking for quadcopter swarm in the presence of static and dynamic obstacles Önür, Giray; Turgut, Ali Emre; Şahin, Erol (2024-01-01) One of the main challenges in swarm robotics is to achieve robust and scalable flocking, such that large numbers of robots can move together in a coordinated and cohesive manner while avoiding obstacles or threats. Flockin...
Distributed Model Predictive Formation Control of Robots with Sampled Trajectory Sharing in Cluttered Environments Satır, Sami; Aktaş, Yasin Furkan; Atasoy, Simay; Ankaralı, Mustafa Mert; Şahin, Erol (2023-12-13)
Fraud detection from paper texture using Siamese networks Emiroğlu, Ezgi Ekiz; Şahin, Erol; Vural, Fatoş T. Yarman (2023-01-01) In this paper, we present a model for the fraud detection of documents, using the texture of the paper on which they are printed. Different from prior studies, we present a data generation process through which we generate...
Towards Data-Driven Discovery of Governing Swarm Robots Flocking Rules Khaldi, Belkacem; KEYVAN, ERHAN EGE; ŞAHİN, MEHMET; Turgut, Ali Emre; Şahin, Erol (2023-01-01) Extracting local interaction rules that govern the dynamics of a swarm is a central challenge in many swarm robotics application domains. Reverse engineer of such dynamics might be highly beneficial in preventing the serio...
Reinforcement learning-based aggregation for robot swarms Sadeghi Amjadi, Arash; Bilaloğlu, Cem; Turgut, Ali Emre; Na, Seongin; Şahin, Erol; Krajník, Tomáš; Arvin, Farshad (2023-01-01) Aggregation, the gathering of individuals into a single group as observed in animals such as birds, bees, and amoeba, is known to provide protection against predators or resistance to adverse environmental conditions for t...
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms Bilaloğlu, Cem; Şahin, Mehmet; Arvin, Farshad; Şahin, Erol; Turgut, Ali Emre (2022-09-10) In this paper, we propose a novel range and bearing sensing (RnB) system for micro-air vehicle (MAV) swarms. The RnB system uses 12 infrared (IR) time-of-flight (ToF) sensors and measures the range and bearing of obstacles...
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms BİLALOĞLU, CEM; Şahin, Mehmet; Arvin, Farshad; Şahin, Erol; Turgut, Ali Emre (2022-09-10)
Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments ÖNÜR, GİRAY; Turgut, Ali Emre; Şahin, Erol (2022-09-10)
Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments Önür, Giray; Turgut, Ali Emre; Şahin, Erol (2022-09-10) Flocking, coordinated movement of individuals, widely observed in animal societies, and it is commonly used to guide robot swarms in cluttered environments. In standard flocking models, robot swarms often use local interac...
A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees Stefanec, Martin; Hofstadler, Daniel N.; Krajnik, Tomas; Turgut, Ali Emre; Alemdar, Hande; Lennox, Barry; Şahin, Erol; Arvin, Farshad; Schmickl, Thomas (2022-04-01) Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and ...

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