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About

Magdalena Banda is a researcher specializing in human-machine interfaces, robotics, and myoelectric control systems. Her work focuses on developing intuitive methods for controlling robotic systems using gesture recognition and electromyography (EMG) sensors. In her most-cited paper (5 citations), she designed a novel solution for the remote control of virtual robotic manipulators using a Kinect v2 sensor, tracking hand motion and palm gestures to enable collaborative control. Banda has also made significant contributions to myoelectric human-machine interfaces, as demonstrated in her work using the Thalmic Labs Myo Armband to control industrial robots like the KUKA KR15. Her research extends to mobile robotics, where she developed an Arduino-based tracked robot controlled via Myo Armband gestures. Collectively, her papers have accumulated over 16 citations, highlighting her impact in advancing accessible, non-invasive control systems for robotics. Banda’s achievements include pioneering the integration of consumer-grade sensors like Kinect and Myo into industrial and mobile robotic applications, bridging the gap between human intent and machine action. Her work offers promising pathways for assistive technologies and intuitive robot control.