Learning Manipulation from Expert Demonstrations Based on Multiple Data Associations and Physical Constraints
Abstract Learning from demonstration is widely regarded as a promising paradigm for robots to acquire diverse skills. Other than the artificial learning from observation-action pairs for machines, humans can learn to imitate in a more versatile and effective manner: acquiring skills through mere “ob...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-025-01204-y |
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