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| Published in: | Robotics and Biomimetics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2018
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| Subjects: | |
| Tags: |
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| _version_ | 1864030187332567046 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Robotics and Biomimetics |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:13554 |
| institution | FRELIP |
| journal_source_facet | Robotics and Biomimetics |
| publishDate | 2018 |
| publishDateSort | 2018 |
| record_format | rss_article |
| spellingShingle | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm Biotechnology Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Biotechnology Technology & Engineering — Computing Technology & Engineering Biotechnology Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Biotechnology Technology & Engineering — Computing Technology & Engineering |
| title | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_auth | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_full | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_fullStr | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_full_unstemmed | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_short | A 6-DOF robot-time optimal trajectory planning based on an improved genetic algorithm |
| title_sort | a 6-dof robot-time optimal trajectory planning based on an improved genetic algorithm |
| topic | Biotechnology Technology & Engineering — Computing Technology & Engineering |
| url | https://link.springer.com/article/10.1186/s40638-018-0085-7 |