Movement-primitive-based imitation learning for robotic manipulation in domestic environment
With the rapid advancement of robotics and artificial intelligence, robots are increasingly being integrated into domestic environments to assist with daily tasks. However, enabling robots to perform complex manipulation tasks autonomously in unstructured and dynamic environments remains a major cha...
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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/10356/181818 |