Aydan Müşerref Erkmen

Department of Electrical and Electronics Engineering
Scopus Author ID
NTN-Aided Quality and Energy-Aware Data Collection in Time-Critical Robotic Wireless Sensor Networks
Gül, Ömer Melih; Erkmen, Aydan Müşerref; Kantarci, Burak (2024-05-01)
Through the use of flying objects such as satellites and uncrewed aerial vehicles (UAVs), non-terrestrial networks (NTNs) have recently garnered interest in large-scale and developing wireless communication networks. UAV-a...
Energy-aware UAV-driven Data Collection with Priority in Robotic Wireless Sensor Network
Gül, Ömer Melih; Erkmen, Aydan Müşerref (2023-01-01)
The work tackles energy-aware data gathering problems at clustered robotic networks. A cluster head (CH) robot assigns task with other robots which gathers monitoring data from sensors. After executing their assigned tasks...
Coriolis Vibratory MEMS Gyro Drive Axis Control with Proxy-Based Sliding Mode Controller
Ozturk, Derya Unsal; Erkmen, Aydan Müşerref (2022-03-01)
MEMS (micro electrical mechanical systems) gyroscopes are used to measure the angular rate in several applications. The performance of a MEMS gyroscope is dependent on more than one factor, such as mechanical imperfections...
UAV-Driven Sustainable and Quality-Aware Data Collection in Robotic Wireless Sensor Networks
Gül, Ömer Melih; Erkmen, Aydan Müşerref; Kantarci, Burak (2022-01-01)
Energy-aware data collection is of paramount importance for robotic and wireless sensor networks. Although static sink-aided cluster-based protocols provide energy-efficient solutions, UAV-aided approaches can be considere...
DUDMap: 3D RGB-D mapping for dense, unstructured, and dynamic environment
Hastürk, Özgür; Erkmen, Aydan Müşerref (2021-01-01)
Simultaneous localization and mapping (SLAM) problem has been extensively studied by researchers in the field of robotics, however, conventional approaches in mapping assume a static environment. The static assumption is v...
Reshaping human intention in Human-Robot Interactions by robot moves A comparative analysis of HMM and OOM methods
Durdu, Akif; Erkmen, Aydan Müşerref; Yilmaz, Alper (John Benjamins Publishing Company, 2019-01-01)
This paper outlines the methodology and experiments associated with the reshaping of human intentions based on robot movements within Human-Robot Interactions (HRIs). Although studies on estimating human intentions are wel...
Exact kalman filtering of respiratory motion
Çetinkaya, Mehmet; Erkmen, Aydan Müşerref (2018-10-01)
In this paper we propose a novel Exact Kalman Filter for state estimation of quasi-periodic signals such as respiratory motion. Nonlinear functions of interest are approximations as truncated Fourier series. Instead of rel...
Achieving Asymptotically Optimal Throughput in Centralized Mobile Robot Networks without Dispatching Feedback
Gul, Omer Melih; Erkmen, Aydan Müşerref (null; 2016-07-27)
Title: Seting optimal planned leadtimes in configure to order manufacturing systems. Abstract: We study the production planning in Configure To Order (CTO) manufacturing systems. The system consists of multiple stages that...
Estimating and reshaping human intention via human robot interaction
DURDU, AKİF; Erkmen, İsmet; Erkmen, Aydan Müşerref (2016-01-01)
Human robot interaction (HRI) is studied in two important research areas, intention estimation and intention reshaping. Although there are many studies in the literature that define human intention, new research examines t...
Fluid swarm formation control for hand gesture imitation by ellipse fitting
TİLKİ, Umut; Erkmen, Aydan Müşerref (Institution of Engineering and Technology (IET), 2015-03-19)
The main focus of this reported work is to imitate human hand gestures in the presence of the organ matching problem. Towards this aim, a case where the imitator is a fluidic system is adopted, whose dynamics are totally d...
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