Grzegorz Baron

Papers

Total Citations

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About

Grzegorz Baron is a researcher specializing in human-robot interaction, gesture recognition, and assistive robotics. His work focuses on integrating modern sensing technologies, such as the Microsoft Kinect, to enable intuitive control of robotic systems. Baron’s major contributions include developing novel methods for remote control of robotic arms and mobile robots through 3D hand tracking and voice commands, eliminating the need for dedicated manipulators. His most-cited paper, "Remote control of the artificial arm model using 3D hand tracking" (2013, 9 citations), demonstrates a gesture-driven interface for the Mindstorms NXT artificial arm, while "Gesture and voice driven mobile tribot robot using Kinect sensor" (2013, 7 citations) presents a multi-modal system combining voice and gesture commands for mobile robot control. These works highlight Baron’s impact in making robotics more accessible and user-friendly, with applications in rehabilitation and assistive technology. His research has garnered attention for its practical approach to bridging human intent and robotic action, inspiring further exploration in non-invasive, sensor-based control systems. Baron’s achievements underscore his role in advancing human-robot collaboration through affordable, off-the-shelf hardware.