astar Peter Corke fail library

Hello!, I stay working with the Peter Corke library for robotics and searching methodos to navigate when try to work with the example the next trouble happend.
'path' is not an accessible method of base class 'Navigation'.
Error in Astar/path (line 312)
path@Navigation(as, start);
Error in aestrella (line 8)
as.path(start); % plan solution path start-to-goal, animate
I search in the library, but the method exist if I change in the code 'path' to 'query' the algoritms don't have troubles but isn't make the calculus.
the code example is the next:
load map1 % load map
goal = [50;30];
start=[20;10];
as = Astar(map); % create Navigation object
as.plan(goal,2,3,0); % setup costmap for specified goal;
% standard D* algorithm w/ 2 objectives
% and 3 costmap layers
as.path(start); % plan solution path start-to-goal, animate
P = as.path(start); % plan solution path start-to-goal, return
% path
Can anyone help me?

6 件のコメント

Ahmed Hassan
Ahmed Hassan 2021 年 3 月 22 日
¿Has encontrado su respuesta?
Oscar Loyola
Oscar Loyola 2021 年 3 月 22 日
No, but I still working in doing an algorithm with the library of reinforcement learning in Matlab.
Ahmed Hassan
Ahmed Hassan 2021 年 3 月 23 日
Gracias!
Muhammad Mumraiz Malik
Muhammad Mumraiz Malik 2021 年 3 月 28 日
Estoy teniendo el mismo problema.
Ahmed Hassan
Ahmed Hassan 2021 年 3 月 29 日
no molestes Mumraiz
Jose de Jesus Hernandez Barragan
Jose de Jesus Hernandez Barragan 2021 年 7 月 12 日
Tambien tengo el mismo problema, D* si funciona pero A* no. Alguien sabe como solucionarlo?

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回答 (1 件)

karim botros
karim botros 2022 年 1 月 24 日
編集済み: karim botros 2022 年 1 月 24 日

0 投票

Try 'query' instead of 'path' as a subclass of navigation.
load map1 % load map
goal = [50;30];
start=[20;10];
as = Astar(map); % create Navigation object
as.plan(goal,2,3,0); % setup costmap for specified goal;
% standard D* algorithm w/ 2 objectives
% and 3 costmap layers
as.path(start); % plan solution path start-to-goal, animate
P = as.path(start); % plan solution path start-to-goal, return
% path

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2020 年 6 月 1 日

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2022 年 1 月 24 日

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