Daniel Schreiber
Papers
1
Total Citations
11
H-Index
1
About
Daniel Schreiber is a robotics researcher whose work focuses on the kinematics and sensor integration of parallel mechanisms, with particular emphasis on the Stewart-Gough platform. His most cited paper, "Sensor concept for solving the direct kinematics problem of the Stewart-Gough platform" (2017, 11 citations), addresses a fundamental challenge in robotics: precisely aligning a robot's coordinate system with the world's coordinate system. Schreiber's major contribution lies in developing a sensor-based approach to solve the direct kinematics problem for parallel mechanisms—a notoriously difficult task that typically requires computationally intensive iterative algorithms. By proposing a novel sensor concept, he offers a more efficient and accurate method for determining the mobile platform's position and orientation. While his citation count is modest, his work represents a practical advancement in robotic calibration and control, particularly for applications requiring high precision. Schreiber's research bridges the gap between theoretical kinematics and real-world sensor implementation, making his contributions valuable for engineers and researchers working on parallel robotic systems in manufacturing, aerospace, and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1