C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy
Learning from demonstrations has been shown to be a successful method for non-experts to teach manipulation tasks to robots. These methods typically build generative models from demonstrations and then use regression to reproduce skills. However, this approach has limitations to capture hard geometr...
| Main Authors: | , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2018-05-31T14:04:11Z.
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| Subjects: | |
| Online Access: | Get fulltext |