机械臂RRT路径规划matlab
时间: 2023-08-30 19:10:10 浏览: 131
以下是一个简单的机械臂RRT路径规划的MATLAB代码示例:
```matlab
function path = rrtPathPlanning(start, goal, obstacles, step_size, max_iterations)
tree = Node(start);
for iter = 1:max_iterations
if rand() < 0.5
random_config = rand(size(start)) * 2 * pi - pi; % 随机生成关节配置
else
random_config = goal; % 以目标配置为随机点
end
nearest_node = nearestNeighbor(tree, random_config); % 寻找最近的节点
new_config = stepFromTo(nearest_node.configuration, random_config, step_size); % 在最近节点和随机点之间前进一步
if isValidConfiguration(new_config, obstacles) % 检查新配置是否有效
new_node = Node(new_config, nearest_node);
tree = [tree new_node]; % 将新节点添加到树中
if norm(new_config - goal) < step_size % 如果新配置接近目标配置
path = getPath(tree, new_node); % 获取路径
return;
end
end
end
path = []; % 无法找到路径
end
function nearest_node = nearestNeighbor(tree, config)
distances = arrayfun(@(node) norm(node.configuration - config), tree); % 计算每个节点与给定配置的距离
[~, index] = min(distances); % 找到最小距离的节点索引
nearest_node = tree(index);
end
function new_config = stepFromTo(start_config, end_config, step_size)
direction = end_config - start_config;
distance = norm(direction);
if distance <= step_size
new_config = end_config;
else
unit_direction = direction / distance;
new_config = start_config + step_size * unit_direction;
end
end
function valid = isValidConfiguration(config, obstacles)
% 检查配置是否与障碍物发生碰撞
% 返回true表示有效,false表示无效
end
function path = getPath(tree, end_node)
path = [];
current_node = end_node;
while ~isempty(current_node)
path = [current_node.configuration; path];
current_node = current_node.parent;
end
end
classdef Node
properties
configuration % 关节配置
parent % 父节点
end
methods
function obj = Node(config, parent)
obj.configuration = config;
obj.parent = parent;
end
end
end
```
以上代码是一个简单的使用RRT算法进行机械臂路径规划的示例。你可以根据实际情况进行修改和扩展,例如添加适当的碰撞检测和路径优化方法。
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