Piotr Czekalski
Papers
2
Total Citations
16
H-Index
2
About
Piotr Czekalski is a researcher specializing in human-robot interaction, gesture recognition, and sensor-based control systems. His work focuses on integrating modern sensing technologies to enable intuitive, remote control of robotic platforms. One of his major contributions is the development of a novel method for controlling an artificial arm model using the Microsoft Kinect sensor, which employs 3D hand tracking and gesture recognition to eliminate the need for dedicated manipulators. This work, cited 9 times, demonstrates a practical approach to making robotic control more accessible and natural. Additionally, Czekalski has advanced the field by creating an integrated system that combines the Kinect sensor with a mobile Lego NXT robot, allowing for both gesture and voice-driven control. This project, cited 7 times, highlights his ability to merge multiple input modalities—such as visual tracking and voice commands—into a single, cohesive application. His research not only showcases the potential of off-the-shelf sensors for robotics but also lays groundwork for more adaptive and user-friendly human-machine interfaces. Czekalski’s achievements underscore his role in pushing the boundaries of remote robotic control, making his work a valuable reference for students and researchers exploring sensor-driven automation.
Research Focus
Key Achievements
Top Papers
- 1Remote control of the artificial arm model using 3D hand tracking9 citations · 2013
- 2Gesture and voice driven mobile tribot robot using Kinect sensor7 citations · 2013