An Object Recognition Grasping Approach Using Proximal Policy Optimization With YOLOv5
Aiming at the problems of traditional grasping methods for mobile manipulators, such as single application scenarios, low accuracy, and complex grasping tasks, this paper proposes an object recognition grasping approach using Proximal Policy Optimization (PPO) with You Only Look Once v5 (YOLOv5), wh...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10217816/ |