P. Princen
Papers
1
Total Citations
10
H-Index
1
About
P. Princen is a researcher in robotics and human-robot interaction, with a focus on intuitive programming methods. Their key research areas include robot programming by human demonstration, sensor calibration, and real-time data processing. Princen’s major contribution is the development of a modular demonstration tool that integrates a wrench sensor and six-dimensional position tracking via LED markers and a Krypton K600 camera, enabling robots to learn tasks through direct human guidance. A standout achievement is their work on Kalman filter data processing, which enhances the accuracy and robustness of sensor data during demonstrations. This approach, detailed in their most-cited paper (2005, 10 citations), addresses critical challenges in sensor fusion and calibration, making robot programming more accessible. While their citation count reflects a specialized niche, Princen’s tool has influenced subsequent research in interactive robotics and skill transfer, offering a practical foundation for non-expert robot programming. Their work exemplifies how combining sensor technology with advanced filtering can bridge the gap between human demonstration and robotic execution.
Research Focus
Key Achievements
Top Papers
- 1