Data-Driven Robotic Tactile Grasping for Hyper-Personalization Line Pick-and-Place
Industries such as the manufacturing or logistics industry need algorithms that are flexible to handle novel or unknown objects. Many current solutions in the market are unsuitable for grasping these objects in high-mix and low-volume scenarios. Finally, there are still gaps in terms of grasping acc...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2023-05-01
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| シリーズ: | Actuators |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2076-0825/12/5/192 |