Barkan Ugurlu, Ph.D

Affiliations: 
Mechanical Engineering Ozyegin University 
Area:
robotics
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"Barkan Ugurlu"
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Publications

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Babič J, Laffranchi M, Tessari F, et al. (2021) Challenges and solutions for application and wider adoption of wearable robots. Wearable Technologies. 2: e14
Ugurlu B, Oshima H, Sariyildiz E, et al. (2020) Active Compliance Control Reduces Upper Body Effort in Exoskeleton-Supported Walking Ieee Transactions On Human-Machine Systems. 50: 144-153
Yildirim MC, Kansizoglu AT, Emre S, et al. (2019) Co-Ex: A Torque-Controllable Lower Body Exoskeleton for Dependable Human-Robot Co-existence. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2019: 605-610
Ugurlu B, Acer M, Barkana DE, et al. (2019) A Soft+Rigid Hybrid Exoskeleton Concept in Scissors-Pendulum Mode: A Suit for Human State Sensing and an Exoskeleton for Assistance. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2019: 518-523
Ugurlu B, Forni P, Doppmann C, et al. (2019) Stable Control of Force, Position, and Stiffness for Robot Joints Powered via Pneumatic Muscles Ieee Transactions On Industrial Informatics. 15: 6270-6279
Kormushev P, Ugurlu B, Caldwell DG, et al. (2019) Learning to exploit passive compliance for energy-efficient gait generation on a compliant humanoid Autonomous Robots. 43: 79-95
Sariyildiz E, Sekiguchi H, Nozaki T, et al. (2018) A Stability Analysis for the Acceleration-Based Robust Position Control of Robot Manipulators via Disturbance Observer Ieee-Asme Transactions On Mechatronics. 23: 2369-2378
Narikiyo T, Matsumoto T, Ugurlu B, et al. (2017) Compliant Locomotion Control for a Quadruped Robot with Damper Coefficients Assigned by Reinforcement Learning Journal of the Robotics Society of Japan. 35: 414-423
Ugurlu B, Doppmann C, Hamaya M, et al. (2016) Variable Ankle Stiffness Improves Balance Control: Experiments on a Bipedal Exoskeleton Ieee-Asme Transactions On Mechatronics. 21: 1-1
Ugurlu B, Nishimura M, Hyodo K, et al. (2015) Proof of Concept for Robot-Aided Upper Limb Rehabilitation Using Disturbance Observers Ieee Transactions On Human-Machine Systems. 45: 110-118
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