Temat: path planning - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Any-angle Global Path Planning for Skid-Steered Mobile Robots on Heterogeneous Terrain
Autorzy:: Jaroszek, P.
Powiązania:: https://bibliotekanauki.pl/articles/384522.pdf
Data publikacji:: 2016
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: spath planning
skid-steered mobile robot
Theta*
any-angle path planning
A*
Opis:: The paper is concerned with selection of the algorithm of path planning for a skid-steered mobile robot operating on heterogeneous terrain. Methods of path searching were reviewed and their applicability to particular kinematic structure of a robot was assessed. The Theta* graph search algorithm was selected, because of its property of returning any-angle paths. Because in this method variable terrain type is not considered, necessary changes in algorithm structure were proposed to check homogeneity of the terrain. In order to enable choice of arbitrary optimization criterion, the model of cost dependent on terrain properties was introduced, which includes both longitudinal motion and turning. Operation of the modified algorithm with the introduced cost model was verified by means of simulation against A* reference algorithm often used in path planning tasks.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 2; 50-56
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Model–based energy efficient global path planning for a four–wheeled mobile robot
Autorzy:: Jaroszek, P.
Trojnacki, M.
Powiązania:: https://bibliotekanauki.pl/articles/206564.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: four-wheeled mobile robot
global path planning
robot dynamics model
heuristic algorithm
energy efficiency
Opis:: This paper concerns an energy efficient global path planning algorithm for a four-wheeled mobile robot (4WMR). First, the appropriate graph search methods for robot path planning are described. The A* heuristic algorithm is chosen to find an optimal path on a 2D tile-decomposed map. Various criteria of optimization in path planning, like mobility, distance, or energy are reviewed. The adequate terrain representation is introduced. Each cell in the map includes information about ground height and type. Tire-ground interface for every terrain type is characterized by coefficients of friction and rolling resistance. The goal of the elaborated algorithm is to find an energy minimizing route for the given environment, based on the robot dynamics, its motor characteristics, and power supply constraints. The cost is introduced as a function of electrical energy consumption of each motor and other robot devices. A simulation study was performed in order to investigate the power consumption level for diverse terrain. Two 1600 m2 test maps, representing field and urban environments, were decomposed into 20x20 equal-sized square-shaped elements. Several simulation experiments have been carried out to highlight the differences between energy consumption of the classic shortest path approach, where cost function is represented as the path length, and the energy efficient planning method, where cost is related to electrical energy consumed during robot motion.
Źródło:: Control and Cybernetics; 2014, 43, 2; 337-363
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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