Experience-based Fuzzy Control of an Anthropomimetic Robot

@inproceedings{Potkonjak2012ExperiencebasedFC,
  title={Experience-based Fuzzy Control of an Anthropomimetic Robot},
  author={V. Potkonjak and N. Bascarevic and P. Milosavljevic and K. Jovanovi{\'c} and O. Holland},
  booktitle={IJCCI},
  year={2012}
}
This paper aims to present a novel experience-based solution for a black-box control problem, applied to an anthropomimetic robot. The control method is tested on a point to point control problem of a multi-jointed robot arm. The model characteristics – dynamics, kinematics, and control parameters – are considered as unspecified, and therefore we deal with a machine learning approach that follows the cybernetic concept of black-box. The only available data of the system are those obtained from… Expand
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References

SHOWING 1-10 OF 12 REFERENCES
Black-box modeling of a 2-DOF manipulator in the image plane using recurrent neurofuzzy networks
Combining analysis, imitation, and experience-based learning to acquire a concept of reachability in robot mobile manipulation
The Anthropomimetic Principle
MOSAIC Model for Sensorimotor Learning and Control
Learning to Combine Motor Primitives Via Greedy Additive Regression
Black-box models from input-output measurements
  • L. Ljung
  • Computer Science
  • IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188)
  • 2001
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