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About

Asilbek Ganiev is a researcher specializing in human-computer interaction, biomedical robotics, and autonomous systems, with a particular focus on bridging biological signals and robotic control. His most influential work centers on electromyography (EMG)-driven prosthetics and virtual robotic systems, where he has made notable contributions to improving quality of life for upper-limb amputees. His 2016 paper, "Study on Virtual Control of a Robotic Arm via a Myo Armband for the Self-Manipulation of a Hand Amputee," has garnered 28 citations and stands as his most recognized contribution, demonstrating how the Myo armband's EMG sensors, gyroscope, and accelerometer can be harnessed to intuitively control a virtual prosthetic arm. Building on this, his 2015 work explored Unity 3D-based virtual robotic arm design using Bluetooth-transmitted muscle signals, further establishing his expertise in wearable sensor integration. More recently, Ganiev has expanded into autonomous mobile robotics, investigating SLAM-based navigation using ROS and Kinect technology. Collectively, his research reflects a consistent drive to make assistive and autonomous robotic technologies more accessible, practical, and responsive to real-world human needs.