Motion planning for hyper-redundant manipulator systems: combining path following and improved APF-RRT* Path finding
Abstract Hyper-redundant manipulator systems (HRMSs) have significant applications in various scenarios. Due to their excessive degrees of freedom (DOF), they can navigate into confined spaces and perform tasks such as exploration, detection, and maintenance. However, its flexibility also renders it...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2025-09-01
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| シリーズ: | Complex & Intelligent Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40747-025-02081-7 |
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