Projects per year
Abstract
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor readings from an environment can be processed, a controller can be stabilized and thus the performance of a moving robot in a real-world environment is improved. So far, only experiments with artificially generated data have shown good results. In a sequence of experiments we evaluate whether a liquid state machine in combination with a supervised learning algorithm can be used to predict ball trajectories with input data coming from a video camera mounted on a robot participating in the RoboCup. This pre-processed video data is fed into a recurrent spiking neural network. Connections to some output neurons are trained by linear regression to predict the position of a ball in various time steps ahead. Our results support the idea that learning with a liquid state machine can be applied not only to designed data but also to real, noisy data.
Original language | English |
---|---|
Title of host publication | Innovations in Applied Artificial Intelligence |
Publisher | Springer |
Pages | 121-130 |
ISBN (Print) | 978-3-540-26551-1 |
DOIs | |
Publication status | Published - 2005 |
Event | 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: IEA/AIE 2005 - Bari, Italy Duration: 22 Jun 2005 → 24 Jun 2005 |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Publisher | Springer |
Volume | 3533 |
Conference
Conference | 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems |
---|---|
Abbreviated title | IEA/AIE 2005 |
Country/Territory | Italy |
City | Bari |
Period | 22/06/05 → 24/06/05 |
Treatment code (Nähere Zuordnung)
- Application
Fingerprint
Dive into the research topics of 'Movement Prediction from real-world Images using a Liquid State Machine'. Together they form a unique fingerprint.-
Autonomous Intelligent Robots
Zaman, S., Maurer, J., Podesser, S., Weber, J., Gspandl, S., Galler, S. J., Steinbauer-Wagner, G., Wotawa, F., Kandlhofer, M., Reip, M., Fraser, G. & Mühlbacher, C.
1/05/02 → …
Project: Research area
-
RoboCup
Wotawa, F., Kandlhofer, M., Weiglhofer, M., Reip, M., Gspandl, S., Galler, S. J., Maurer, J., Steinbauer-Wagner, G., Schubert, M., Monichi, D., Fraser, G. & Weber, J.
1/01/02 → 31/12/23
Project: Research project