Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations
Despite significant advances in robotics and deep learning, the ability of robots to perceive and act remain far below that of humans. To bridge this gap, we utilize active inference, a framework based on the free-energy principle that accounts for various human brain functions. Despite the utility...
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| Main Authors: | Kentaro Fujii, Takuya Isomura, Shingo Murata |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10710342/ |
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