Issatay Tokmurziyev

Skolkovo Institute of Science and Technology

Papers

Total Citations

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About

Issatay Tokmurziyev is a rising researcher at the forefront of assistive robotics and human-robot interaction, with a focus on developing intuitive, vision-driven control systems. His work centers on two major contributions: gaze-based robotic manipulation and vision-language-action (VLA) models for bimanual tasks. In his highly-cited 2025 paper "GazeGrasp," Tokmurziyev introduced a system that empowers individuals with motor impairments to control collaborative robots using only eye-gaze, integrating ESP32 CAM, MediaPipe, and YOLOv8 for seamless object grasping. This work has already garnered 6 citations, reflecting its impact on accessible robotics. His second key contribution, "Shake-VLA," pioneers a VLA model for bimanual manipulation, enabling a robot to autonomously prepare cocktails by integrating vision, speech recognition, and action planning. With 3 citations, this paper showcases his ability to bridge language understanding and physical dexterity. Tokmurziyev’s research not only advances robotic autonomy but also directly addresses real-world challenges in assistive technology, making him a notable figure in the intersection of computer vision, robotics, and human-centered design.