Enhancing stable grasping of containers with dynamic center of mass using reinforcement learning
This research focuses on advancing robotic grasping capabilities, specifically targeting dynamic containers with varying center of mass and irregular internal shapes. Leveraging computer vision and reinforcement learning techniques, we aimed to optimize the grasping process. Our approach involved th...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182184 |