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Aydan M. Erkmen
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2020 – today
- 2024
- [j22]Omer Melih Gul
, Aydan Muserref Erkmen, Burak Kantarci:
NTN-Aided Quality and Energy-Aware Data Collection in Time-Critical Robotic Wireless Sensor Networks. IEEE Internet Things Mag. 7(3): 114-120 (2024) - 2022
- [j21]Omer Melih Gul
, Aydan M. Erkmen
, Burak Kantarci
:
UAV-Driven Sustainable and Quality-Aware Data Collection in Robotic Wireless Sensor Networks. IEEE Internet Things J. 9(24): 25150-25164 (2022) - 2020
- [j20]Omer Melih Gul
, Aydan M. Erkmen
:
Energy-Efficient Cluster-Based Data Collection by a UAV with a Limited-Capacity Battery in Robotic Wireless Sensor Networks. Sensors 20(20): 5865 (2020)
2010 – 2019
- 2014
- [j19]Baris Ozyer
, Ismet Erkmen, Aydan M. Erkmen
:
Momentum Transfer from Preshape to Grasping. J. Intell. Robotic Syst. 75(2): 173-191 (2014) - [j18]Murat Karahan, Aydan M. Erkmen
, Ismet Erkmen:
Prioritized Mobile Robot Exploration Based on Percolation Enhanced Entropy Based Fast SLAM. J. Intell. Robotic Syst. 75(3-4): 541-567 (2014) - [c36]O. Can Görür
, Aydan M. Erkmen
:
Elastic networks in reshaping human intentions by proactive social robot moves. RO-MAN 2014: 1012-1017 - 2013
- [c35]Umut Tilki, Ismet Erkmen, Aydan M. Erkmen
:
Imitation of human body poses with a fluid based controller. SIU 2013: 1-4 - [c34]Umut Tilki, Ismet Erkmen, Aydan M. Erkmen
:
Imitation of hand gestures classified by Principal Component Analysis with fluid particles. SIU 2013: 1-4 - 2012
- [c33]Iclal Akyol, Emine Adli, Didem Gökçay, Aydan M. Erkmen
:
Analysis and classification of fMR time series using map blind deconvolution and fourier wavelet regularized deconvolution. SIU 2012: 1-4 - [c32]Baris Ozyer, Ismet Erkmen, Aydan M. Erkmen
:
Grasping an object by approaching with optimal hand preshaping. SIU 2012: 1-4 - 2010
- [j17]Sebahattin Topal, Ismet Erkmen, Aydan M. Erkmen:
Towards the Robotic "Avatar": An Extensive Survey of the Cooperation between and within Networked Mobile Sensors. Future Internet 2(3): 363-387 (2010) - [j16]Cabbar Veysel Baysal
, Aydan M. Erkmen:
An Intelligent Inference System for Robot Hand Optimal Grasp Preshaping. Int. J. Comput. Intell. Syst. 3(5): 656-673 (2010) - [j15]Sebahattin Topal, Ismet Erkmen, Aydan M. Erkmen
:
Percolation enhanced prioritised multi-robot exploration of unstructured environments. Int. J. Reason. based Intell. Syst. 2(3/4): 217-225 (2010)
2000 – 2009
- 2008
- [p1]Robin R. Murphy, Satoshi Tadokoro, Daniele Nardi, Adam Jacoff, Paolo Fiorini, Howie Choset, Aydan M. Erkmen:
Search and Rescue Robotics. Springer Handbook of Robotics 2008: 1151-1173 - 2007
- [j14]Burak H. Kaygisiz, Aydan M. Erkmen
, Ismet Erkmen:
Enhancing positioning accuracy of GPS/INS system during GPS outages utilizing artificial neural network. Neural Process. Lett. 25(3): 171-186 (2007) - [c31]Engin Caglav, Aydan M. Erkmen
, Ismet Erkmen:
A snake-like robot for variable friction unstructured terrains, pushing aside debris in clearing passages. IROS 2007: 3685-3690 - [c30]Muhammed R. Pac, Aydan M. Erkmen
, Ismet Erkmen:
Control of robotic swarm behaviors based on smoothed particle hydrodynamics. IROS 2007: 4194-4200 - 2006
- [c29]Muhammed R. Pac, Aydan M. Erkmen
, Ismet Erkmen:
Towards Fluent Sensor Networks: A Scalable and Robust Self-Deployment Approach. AHS 2006: 365-372 - [c28]Berkant Akin, Aydan M. Erkmen
, Ismet Erkmen:
A Behavior based Layered, Hybrid, Control Architecture for Robot/Sensor Networks. ICRA 2006: 206-211 - [c27]Muhammed R. Pac, Aydan M. Erkmen
, Ismet Erkmen:
Scalable Self-Deployment of Mobile Sensor Networks: A Fluid Dynamics Approach. IROS 2006: 1446-1451 - [c26]Evrim Onur Ari, Ismet Erkmen, Aydan M. Erkmen
:
FACL Based 3D Grasping Controller for a Snake Robot During Locomotion. IROS 2006: 4030-4035 - 2005
- [c25]Evrim Onur Ari, Ismet Erkmen, Aydan M. Erkmen
:
A FACL controller architecture for a grasping snake robot. IROS 2005: 1748-1753 - 2004
- [c24]Emre Karalarli, Aydan M. Erkmen, Ismet Erkmen:
Intelligent Gait Synthesizer for Hexapod Walking Rescue Robots. ICRA 2004: 2177-2182 - 2003
- [c23]H. E. Motuk, Aydan M. Erkmen, Ismet Erkmen:
Student performance evaluation in web based access to robot supported laboratories. ICRA 2003: 4408-4413 - [c22]Burak H. Kaygisiz, Aydan M. Erkmen, Ismet Erkmen:
GPS/INS enhancement using neural networks for autonomous ground vehicle applications. IROS 2003: 3763-3768 - 2002
- [j13]Evren Gürkan
, Ismet Erkmen, Aydan M. Erkmen
:
Two-way fuzzy adaptive identification and control of a flexible-joint robot arm. Inf. Sci. 145(1-2): 13-43 (2002) - [j12]Satoshi Tadokoro, Aydan M. Erkmen
, Ismet Erkmen:
from the guest editors - rescue robotics special issue. IEEE Robotics Autom. Mag. 9(3): 4 (2002) - [j11]Ismet Erkmen, Aydan M. Erkmen
, Fumitoshi Matsuno, Ranajit Chatterjee, Tetsushi Kamegawa:
Snake robots to the rescue! IEEE Robotics Autom. Mag. 9(3): 17-25 (2002) - [c21]G. Meltem Kulali, Mustafa Gevher, Aydan M. Erkmen
, Ismet Erkmen:
Intelligent Gait Synthesizer for Serpentine Robots. ICRA 2002: 1513-1518 - [c20]Ufuk Zeki Sanal, Aydan M. Erkmen
, Ismet Erkmen:
Logical Sensing and Intelligent Perception Based on Rough Sets and Dynamic Decay Adjustment Learning. ICRA 2002: 3386-3391 - [c19]Burak H. Kaygisiz, Aydan M. Erkmen, Ismet Erkmen:
Detection of transition to chaos during stability roughness smoothing of a robot arm. IROS 2002: 1910-1915 - 2001
- [j10]Aydan M. Erkmen
, Takashi Tsubouchi, Robin R. Murphy:
Mechatronics education [Guest editorial]. IEEE Robotics Autom. Mag. 8(2): 4 (2001) - [c18]Mustafa Gevher, Aydan M. Erkmen
, Ismet Erkmen:
Sensor Based Online Path Planning For Serpentine Robots. ICRA 2001: 674-679 - [c17]Burak H. Kaygisiz, Aydan M. Erkmen
, Ismet Erkmen:
Smoothing stability roughness of a robot arm under dynamic load using reinforcement learning. IROS 2001: 2392-2397 - [c16]Evren Gürkan, Aydan M. Erkmen, Ismet Erkmen:
Evaluation of Inconsistency in a 2-Way Fuzzy Adaptive System Using Shadowed Sets. ISMVL 2001: 109-115 - 2000
- [j9]Aydan M. Erkmen
, Ismet Erkmen, A. Erman Tekkaya
:
Optimal initialization of manipulation dynamics by vorticity model of robot hand preshaping. Part I: Vorticity model. J. Field Robotics 17(4): 199-212 (2000) - [j8]Aydan M. Erkmen
, Ismet Erkmen, A. Erman Tekkaya
:
Optimal initialization of manipulation dynamics by vorticity model of robot hand preshaping. Part II: Analyses of grasp initialization and its vorticity based optimization. J. Field Robotics 17(4): 213-231 (2000) - [j7]Abdülkadir Erden, Aydan M. Erkmen
, Ismet Erkmen, Ronald B. Bucinell, Cherrice Traver, Leila Notash:
The multidisciplinary international virtual design studio (MIVDS). IEEE Trans. Educ. 43(3): 288-295 (2000) - [c15]Mehmet Durna, Aydan M. Erkmen, Ismet Erkmen:
Self-Localization of a Holon in the Reconfiguration Task Space of a Robotic Colony. ICRA 2000: 1748-1754 - [c14]Mehmet Durna, Aydan M. Erkmen, Ismet Erkmen:
The self-reconfiguration of a holonic hand: the holonic regrasp. IROS 2000: 1993-1998 - [c13]Mehmet Durna, Ismet Erkmen, Aydan M. Erkmen
:
Self-reconfiguration in task space of a holonic structure. IROS 2000: 2366-2373 - [c12]Nazife Baykal, Aydan M. Erkmen:
Resilient backpropagation for RBF networks. KES 2000: 624-627
1990 – 1999
- 1999
- [j6]Ismet Erkmen, Aydan M. Erkmen, A. Erman Tekkaya, T. Pasinlioglu:
Haptic perception of shape and hollowness of deformable objects using the anthrobot-III robot hand. J. Field Robotics 16(1): 9-24 (1999) - [j5]Nazife Baykal, Aydan M. Erkmen:
Extended Self Organizing Feature Map: A Tagged Potential Field Approach. Neural Process. Lett. 10(1): 57-72 (1999) - [c11]Evren Gürkan, Aydan M. Erkmen, Ismet Erkmen:
Intuitionistic, 2-Way Adaptive Fuzzy Control. ICRA 1999: 2470-2475 - 1998
- [c10]Aydan M. Erkmen, Mehmet Durna:
Genetic Algorithm-Based Optimal Regrasping with the Anthrobot 5-Fingered Robot Hand. ICRA 1998: 3329-3334 - [c9]Mehmet Durna, Ismet Erkmen, Aydan M. Erkmen:
Holonic grasping. IROS 1998: 140-145 - [c8]Nazife Baykal, Aydan M. Erkmen:
Tagged potential field extension to self-organizing feature maps. KES (2) 1998: 292-298 - 1997
- [c7]Aydan M. Erkmen, Mustafa Erbudak, Ömer Anlagan, Hakki Özgür Ünver:
Genetically tuned fuzzy scheduling for flexible manufacturing systems. ICRA 1997: 951-956 - [c6]Levent Gokkus, Aydan M. Erkmen, Ozan Tekinalp:
Interacting fuzzy multimodel intelligent tracking system for swift target manoeuvres. IROS 1997: 766-771 - 1996
- [j4]Nazife Baykal, James A. Reogia, Nese Yalabik, Aydan M. Erkmen
, M. Sinan Beksac
:
Feature discovery and classification of Doppler umbilical artery blood flow velocity waveforms. Comput. Biol. Medicine 26(6): 451-462 (1996) - [c5]Selim Eskiizmirliler, Aydan M. Erkmen, Funda Basaran, A. Nur Çakar:
A hybrid intelligent diagnostic system based on neural networks and image analysis techniques in the field of automated cytogenetics. ICIP (1) 1996: 315-318 - 1994
- [c4]Hüseyin Canbolat, Aydan M. Erkmen:
Optimal Preshaping Using Vorticity Based Manipulability and Stability Criteria. ICRA 1994: 1943-1949 - 1992
- [c3]Aydan M. Erkmen, Cabbar V. Baysal
:
A computer implementation of fractional based inference network for sensorimotor robot hand preshaping. IROS 1992: 202-209 - [c2]Mert Uneri, Aydan M. Erkmen:
Generating Performance Criteria For Sensorimotor Trainer Sets Of A Robot Manipulator Using Cell-to-cell-mapping. IROS 1992: 689-696 - 1990
- [j3]Harry E. Stephanou, Aydan M. Erkmen
:
Model-based sensory pattern fusion. J. Field Robotics 7(3): 395-418 (1990) - [j2]Aydan M. Erkmen
, Harry E. Stephanou:
Information fractals for evidential pattern classification. IEEE Trans. Syst. Man Cybern. 20(5): 1103-1114 (1990)
1980 – 1989
- 1989
- [j1]Aydan M. Erkmen
, Ferit Yegenoglu, Harry E. Stephanou:
Entropy-driven on-line control of autonomous robots. J. Intell. Robotic Syst. 2(2-3): 109-121 (1989) - [c1]Aydan M. Erkmen, Harry E. Stephanou:
Preshape Jacobians for minimum momentum grasping. SMC 1989: 790-795
Coauthor Index

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