- Tytuł:
- Humanoid robot path planning using rapidly explored random tree and motion primitives
- Autorzy:
-
Szumowski, Maksymilian
Zielinska, Teresa - Powiązania:
- https://bibliotekanauki.pl/articles/1837364.pdf
- Data publikacji:
- 2021
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
humanoid robot
path planning
rapidly exploring random tree - Opis:
- Path planning is an essential function of the control sy‐ stem of any mobile robot. In this article the path planner for a humanoid robot is presented. The short description of an universal control framework and the Motion Ge‐ neration System is also presented. Described path plan‐ ner utilizes a limited number of motions called the Mo‐ tion Primitives. They are generated by Motion Generation System. Four different algorithms, namely the: Informed RRT, Informed RRT with random bias, and RRT with A* like heuristics were tested. For the last one the version with biased random function was also considered. All menti‐ oned algorithms were evaluated considering three diffe‐ rent scenarios. Obtained results are described and discus‐ sed.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 1; 24-30
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł