Dr. Servet Soyguder

Assocate.Professor
Firat University, Turkiye


Highest Degree
Ph.D. in Robotic Science from Firat University, Turkiye

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Area of Interest:

Computer Sciences
Intelligent Control Techniques
Automation
Simulation
Robotics

Selected Publications

  1. Soyguder, S. and W. Boles, 2017. SLEGS robot: Development and design of a novel flexible and self-reconfigurable robot leg. Ind. Robot Int. J., 44: 377-391.
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  2. Abut, T. and S. Soyguder, 2017. Real-time control of bilateral teleoperation system with adaptive computed torque method. Ind. Robot Int. J., 44: 299-311.
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  3. Soyguder, S. and T. Abut, 2016. Haptic industrial robot control with variable time delayed bilateral teleoperation. Ind. Robot Int. J., 43: 390-402.
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  4. Korkmaz, D., Z.H. Akpolat, S. Soyguder and H. Alli, 2015. Dynamic simulation model of a biomimetic robotic fish with multi-joint propulsion mechanism. Trans. Inst. Meas. Control, 37: 684-695.
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  5. Soyguder, S. and H. Alli, 2012. Kinematic and dynamic analysis of a hexapod walking-running-bounding gaits robot and control actions. Comput. Electr. Eng., 38: 444-458.
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  6. Soyguder, S. and H. Alli, 2012. Computer simulation and dynamic modeling of a quadrupedal pronking gait robot with SLIP model. Comput. Electr. Eng., 38: 161-174.
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  7. Soyguder, S., 2011. Intelligent system based on wavelet decomposition and neural network for predicting of fan speed for energy saving in HVAC system. Energy Build., 43: 814-822.
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  8. Soyguder, S., 2011. Intelligent control based on wavelet decomposition and neural network for predicting of human trajectories with a novel vision-based robotic. Expert Syst. Applic., 38: 13994-14000.
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  9. Soyguder, S. and H. Alli, 2011. Motion mechanism concept and morphology of a single actuator tetrapod walking spider robot: The ROBOTURK SA-2 robot. Ind. Robot: Int. J., 38: 361-371.
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  10. Talu, M.F., S. Soyguder and O. Aydogmus, 2010. An implementation of a novel vision-based robotic tracking system. Sensor Rev., 30: 225-232.
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  11. Soyguder, S. and H. Alli, 2010. Fuzzy adaptive control for the actuators position control and modeling of an expert system. Expert Syst. Applic., 37: 2072-2080.
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  12. Soyguder, S., M. Karakose and H. Alli, 2009. Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system. Expert Syst. Applic., 36: 4566-4573.
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  13. Soyguder, S. and H. Alli, 2009. Predicting of fan speed for energy saving in HVAC system based on adaptive network based fuzzy inference system. Expert Syst. Applic., 36: 8631-8638.
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  14. Soyguder, S. and H. Alli, 2009. An expert system for the humidity and temperature control in HVAC systems using ANFIS and optimization with fuzzy modeling approach. Energy Buildings, 41: 814-822.
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  15. Soyguder, S. and H. Alli, 2007. Design and prototype of a six-legged walking insect robot. Ind. Robot: Int. J., 34: 412-422.
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