Ozgur Ege Aydogan

I am Ozgur Ege Aydogan, a Fulbright Program PhD Scholar (Fall 2026 cohort) and robotics researcher focused on how intelligent machines can support human movement through physically grounded, adaptive interaction. My work centers on human-in-the-loop robotic systems that combine wearable robotics, biomechanics, and multimodal sensing to enable stable, intuitive assistance in contact-rich settings.

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In 2025, I was selected as a Fulbright PhD Scholar to pursue doctoral research in wearable and assistive robotics in the United States. My research trajectory emphasizes impedance modulation, task-phase awareness, and intent-conditioned control, treating sensing and learning as tools for shaping interaction rather than issuing commands.

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I previously worked as a research assistant at Osaka University, within the Graduate School of Medicine, where I developed intent-aware shared-control systems for robotic manipulation under the supervision of Takufumi Yanagisawa in the Yanagisawa Laboratory. This work explored how neural signals can be embedded into manipulation-centric control frameworks to modulate control authority during contact, rather than functioning as direct command channels.

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I hold a Master’s degree in Robotics Engineering from Osaka University, where I conducted research in the Adaptive Robotics Laboratory under Koh Hosoda and Kensuke Harada. My master’s research focused on bio-inspired, muscle-mimetic quadruped robots actuated by pneumatic artificial muscles, investigating how phase-aware coordination and embodied compliance can produce stable and energy-efficient locomotion.

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I began my academic training at Yildiz Technical University, where I led the development of a 4-DOF upper-limb exoskeleton for post-stroke rehabilitation under Erhan Akdogan in the Biomechatronics Research Laboratory. This project received national recognition and established my long-term interest in human-centered wearable robotics. I later mentored a follow-on project extending this system with EMG-driven impedance control and adaptive load-suspension mechanisms.

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Currently, at ATR Research Institute, within the Hiroshi Ishiguro Laboratories, I work on real-time human-in-the-loop teleoperation and impedance control frameworks for wearable robots. This research integrates EMG, inertial, and torque sensing with adaptive control and learning-based parameter tuning, further advancing my interest in embodied intelligence emerging from physical interaction.

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My long-term vision is to contribute to the development of wearable robotic and assistive systems that behave as physically intelligent partners, seamlessly adapting to human intent, task context, and environmental dynamics to expand mobility and autonomy.

 

Further details on my projects, background, and publications are available in the Projects, CV, and Publications sections of this website.