Yuri Gloumakov

Yuri Gloumakov is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Connecticut's School of Engineering. His research focuses on robotics, tactile sensing, controls, machine learning, and biomechanics, with applications in rehabilitation engineering. His work addresses challenges in prosthetic design, motion compensation, and human-robot interaction for individuals with spinal cord injuries and amputations.

Gloumakov's research interests span robotics hardware development, sensor integration, and adaptive control systems. Notable themes include supernumerary grasping mechanisms, compensatory motion analysis, and trajectory-based prosthetic control. His publications emphasize biomechanical modeling, tactile feedback systems, and human-centric design principles for assistive technologies.

His recent work (2020-2024) demonstrates a strong focus on upper-limb prosthetics, with studies on wrist-hand kinematics, slip control in object manipulation, and wearable testbeds for variable transmission systems. Cross-disciplinary approaches combining machine learning with biomechanics are evident in his exploration of grasp taxonomies and motion clustering during activities of daily living.

While no specific grants or awards are listed, his publications indicate active collaboration with clinical and engineering research groups. Advising activities and lab affiliations remain unspecified in available materials.