Reinforcement learning for robot assembly
Robotic systems are traditionally employed in manufacturing to automate repetitive tasks such as welding, painting, and pick-and-place. Despite tremendous progress in robotics research, the classical assembly skill remains a challenge. In most cases, the difficult assembly skills still rely heavily...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/174724 |
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