Local and global artificial potential functions in the control of mobile robots
The article presents overview of authors' results concerning mobile robot con- trol algorithms that use local arti cial potential functions (APF) to avoid colli- sions and global arti cial potential functions, named also navigation functions (NF) used to both collision avoidance and driving robot to...
I tiakina i:
| Kaituhi matua: | |
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| Ētahi atu kaituhi: | |
| Hōputu: | article |
| Reo: | Pāniora |
| I whakaputaina: |
2018
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| Ngā marau: | |
| Urunga tuihono: | http://revistas.utp.ac.pa/index.php/memoutp/article/view/1872 http://ridda2.utp.ac.pa/handle/123456789/5758 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopototanga: | The article presents overview of authors' results concerning mobile robot con- trol algorithms that use local arti cial potential functions (APF) to avoid colli- sions and global arti cial potential functions, named also navigation functions (NF) used to both collision avoidance and driving robot to a desired goal. All included algorithms assume that the mobile platform is di erentially driven mobile robot with nonholonomic constraints. E ectiveness of presented meth- ods is illustrated by simulation and experimental results. Experimental setup used to demonstrate control algorithms is presented.The article presents overview of authors' results concerning mobile robot con-trol algorithms that use local articial potential functions (APF) to avoid colli-sions and global articial potential functions, named also navigation functions(NF) used to both collision avoidance and driving robot to a desired goal. Allincluded algorithms assume that the mobile platform is dierentially drivenmobile robot with nonholonomic constraints. Eectiveness of presented meth-ods is illustrated by simulation and experimental results. Experimental setupused to demonstrate control algorithms is presented. |
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