Practical learning synergies between pushing and grasping based on DRL
This paper focuses on the comparison of performance of the intelligent robot manipulation systems based on different deep reinforcement learning technologies. An ideal strategy for robotic manipulation involves two primary components: non- prehensile actions, such as pushing, and prehensile actions,...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175513 |