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Artificial Sense of Balance
The project
The suitable path planning and control of a two-legged robot requires a
sensor that, like the sense of balance, measures the attitude and the
position in three-dimensional space. Sensor clusters commonly used for
inertial navigation are inapplicable for this task because of their
weight, costs and high power consumption. Due to the rapid development
of automotive micromechanical sensors lots of low-cost alternatives have
appeared. Though low-cost sensors have much higher measurement errors
these errors can be reduced to an adequate, application-specific degree.
Therefore the measurements of the sensor system have to be designed
redundant and the sensor data has to be fused by an intelligent data
fusion algorithm.
The inertial measurement unit developed at the Institute of Automatic
Control in 2002 consists basically of three accelerations, three vibrating
gyroscopes and three magnetic field sensors. In addition, the
microcontroller MPC555 with the real-time operating system RTOS-UH is
used as a System-on-the-Chip. Since 2002, the sensors have considerably improved but
the problems concerning sensor data fusion or dirft compensation are still prevailing.
Publications
A complete and searchable list of publications with abstracts and citations in bibtex format
can be found here.
- Seebode, M., Strasser, R., Lilge, T., Gerth, W.:
Datenfusion in einem künstlichen
Gleichgewichtsorgan für autonome Roboter.
39. Regelungstechnisches Kolloquium - Kurzfassung der Beiträge,
23.02-25.02.2005, Boppard, S. 14-15.
- Strasser, R., Seebode, M.:
Inertial Measureing Unit Based on Low-Cost Sensors.
TNT - Tips & Trends, 2003, Nr. 3, S. 31-33, SASCO.
- Strasser, R., Seebode, M., Albert, A., Gerth, W.:
Extrem kompaktes SoC-Konzept eines Gleichgewichtsorganes für einen Laufroboter.
In: P. Holleczek, B. Vogel-Heuser (Hrsg.): Verteilte Echtzeitsysteme. PEARL 2003,
Springer Verlag Berlin Heidelberg, 2003, S. 49-58.
- Strasser, R., Seebode, M., Gerth, W.:
A very small low cost Inertial Measurement Unit (IMU) for robotic applications.
Symposium GYRO Technology 2003, Stuttgart, 2003, S. 18.0-18.9.
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