Learning by Watching: A Review of Video-Based Learning Approaches for Robot Manipulation
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world transfer. Meanwhile, large-scale ‘in-the-wild’ video datasets have driven progress in co...
| 出版年: | IEEE Access |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2025-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/11215739/ |