Tomomi Uchiyama
Papers
1
Total Citations
7
H-Index
1
About
Tomomi Uchiyama is a robotics researcher whose work centers on sensor-driven robot control and human-robot interaction. Her most-cited paper, "Robot Manipulation and Guidance Using Magnetic Motion Capture Sensor and a Rule-Based Controller" (2008, 7 citations), addresses a persistent challenge in robotics: the complexity of calibrating magnetic motion capture sensors (MMCS) for precise robot control. Rather than relying on resource-intensive calibration to correct magnetic sensor errors, Uchiyama proposed an innovative rule-based controller that uses only raw spatial coordinates from the sensor. This approach simplifies robot guidance and manipulation, making it more accessible and efficient for real-world applications. Her contribution is notable for offering a practical, low-cost alternative to conventional sensor calibration methods, potentially expanding the use of magnetic sensors in robotics. While her citation count is modest, the work reflects a thoughtful engineering approach—prioritizing simplicity and functionality over computational overhead. For students and researchers exploring sensor integration or intuitive robot control, Uchiyama’s work demonstrates how creative problem-solving can overcome technical barriers in robotics.
Research Focus
Key Achievements
Top Papers
- 1