Adaptive Manipulator Control using Active Inference with Precision Learning
Active inference provides a framework for decisionmaking where the optimization is achieved by minimizing freeenergy. Previous work has used this framework for control and state-estimation of a robotic manipulator. This required manual definition of precision matrices which serve as controller gains...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
2020
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