多节点动作通信
机器人是一个复杂的智能系统,并不仅仅是键盘遥控运动、识别某个目标这么简单,我们需要实现的是送餐、送货、分拣等满足具体场景需求的机器人。
在这些应用功能的实现中,另外一种ROS通信机制也会被常常用到——那就是动作。从这个名字上就可以很好理解这个概念的含义,这种通信机制的目的就是便于对机器人某一完整行为的流程进行管理。
通信模型
举个例子,比如我们想让机器人转个圈,这肯定不是一下就可以完成的,机器人得一点一点旋转,直到360度才能结束,假设机器人并不在我们眼前,发出指令后,我们根本不知道机器人到底有没有开始转圈,转到哪里了?
OK,现在我们需要的是一个反馈,比如每隔1s,告诉我们当前转到多少度了,10度、20度、30度,一段时间之后,到了360度,再发送一个信息,表示动作执行完成。
这样一个需要执行一段时间的行为,使用动作的通信机制就更为合适,就像装了一个进度条,我们可以随时把控进度,如果运动过程当中,我们还可以随时发送一个取消运动的命令。
客户端/服务器模型
动作和服务类似,使用的也是客户端和服务器模型,客户端发送动作的目标,想让机器人干什么,服务器端执行动作过程, 控制机器人达到运动的目标,同时周期反馈动作执行过程中的状态。
客户端发送一个运动的目标,想让机器人动起来,服务器端收到之后,就开始控制机器人运动,一边运动,一边反馈当前的状态,如果是一个导航动作,这个反馈可能是当前所处的坐标,如果是机械臂抓取,这个反馈可能又是机械臂的实时姿态。当运动执行结束后,服务器再反馈一个动作结束的信息。整个通信过程就此结束。
一对多通信
和服务一样,动作通信中的客户端可以有多个,大家都可以发送运动命令,但是服务器端只能有一个,毕竟只有一个机器人,先执行完成一个动作,才能执行下一个动作。
同步通信
既然有反馈,那动作也是一种同步通信机制,之前我们也介绍过,动作过程中的数据通信接口,使用.action文件进行定义。
由服务和话题合成
大家再仔细看下上边的动图,是不是还会发现一个隐藏的秘密。
动作的三个通信模块,竟然有两个是服务,一个是话题,当客户端发送运动目标时,使用的是服务的请求调用,服务器端也会反馈一个应带,表示收到命令。动作的反馈过程,其实就是一个话题的周期发布,服务器端是发布者,客户端是订阅者。
没错,动作是一种应用层的通信机制,其底层就是基于话题和服务来实现的。
编程方法
相比之前话题和服务的程序,动作通信的例程相对较长,我们一起来运行并分析一下。
运行示例程序
$ source /opt/tros/local_setup.bash
$ source install/local_setup.bash
$ ros2 run learning_action_cpp server
$ ros2 run learning_action_cpp client
代码解析
动作的服务器fibonacci_action_server.cpp:
#include <inttypes.h>
#include <memory>
#include "learning_action_cpp/action/fibonacci.hpp"
#include "rclcpp/rclcpp.hpp"
// TODO(jacobperron): Remove this once it is included as part of 'rclcpp.hpp'
#include "rclcpp_action/rclcpp_action.hpp"
class MinimalActionServer : public rclcpp::Node
{
public:
using Fibonacci = learning_action_cpp::action::Fibonacci;
using GoalHandleFibonacci = rclcpp_action::ServerGoalHandle<Fibonacci>;
explicit MinimalActionServer(const rclcpp::NodeOptions & options = rclcpp::NodeOptions())
: Node("minimal_action_server", options)
{
using namespace std::placeholders;
this->action_server_ = rclcpp_action::create_server<Fibonacci>(
this->get_node_base_interface(),
this->get_node_clock_interface(),
this->get_node_logging_interface(),
this->get_node_waitables_interface(),
"fibonacci",
std::bind(&MinimalActionServer::handle_goal, this, _1, _2),
std::bind(&MinimalActionServer::handle_cancel, this, _1),
std::bind(&MinimalActionServer::handle_accepted, this, _1));
}
private:
rclcpp_action::Server<Fibonacci>::SharedPtr action_server_;
rclcpp_action::GoalResponse handle_goal(
const rclcpp_action::GoalUUID & uuid,
std::shared_ptr<const Fibonacci::Goal> goal)
{
RCLCPP_INFO(this->get_logger(), "Received goal request with order %d", goal->order);
(void)uuid;
// Let's reject sequences that are over 9000
if (goal->order > 9000) {
return rclcpp_action::GoalResponse::REJECT;
}
return rclcpp_action::GoalResponse::ACCEPT_AND_EXECUTE;
}
rclcpp_action::CancelResponse handle_cancel(
const std::shared_ptr<GoalHandleFibonacci> goal_handle)
{
RCLCPP_INFO(this->get_logger(), "Received request to cancel goal");
(void)goal_handle;
return rclcpp_action::CancelResponse::ACCEPT;
}
void execute(const std::shared_ptr<GoalHandleFibonacci> goal_handle)
{
RCLCPP_INFO(this->get_logger(), "Executing goal");
rclcpp::Rate loop_rate(1);
const auto goal = goal_handle->get_goal();
auto feedback = std::make_shared<Fibonacci::Feedback>();
auto & sequence = feedback->sequence;
sequence.push_back(0);
sequence.push_back(1);
auto result = std::make_shared<Fibonacci::Result>();
for (int i = 1; (i < goal->order) && rclcpp::ok(); ++i) {
// Check if there is a cancel request
if (goal_handle->is_canceling()) {
result->sequence = sequence;
goal_handle->canceled(result);
RCLCPP_INFO(this->get_logger(), "Goal Canceled");
return;
}
// Update sequence
sequence.push_back(sequence[i] + sequence[i - 1]);
// Publish feedback
goal_handle->publish_feedback(feedback);
RCLCPP_INFO(this->get_logger(), "Publish Feedback");
loop_rate.sleep();
}
// Check if goal is done
if (rclcpp::ok()) {
result->sequence = sequence;
goal_handle->succeed(result);
RCLCPP_INFO(this->get_logger(), "Goal Succeeded");
}
}
void handle_accepted(const std::shared_ptr<GoalHandleFibonacci> goal_handle)
{
using namespace std::placeholders;
// this needs to return quickly to avoid blocking the executor, so spin up a new thread
std::thread{std::bind(&MinimalActionServer::execute, this, _1), goal_handle}.detach();
}
}; // class MinimalActionServer
int main(int argc, char ** argv)
{
rclcpp::init(argc, argv);
auto action_server = std::make_shared<MinimalActionServer>();
rclcpp::spin(action_server);
rclcpp::shutdown();
return 0;
}
动作的客户端fibonacci_action_client.cpp:
#include <inttypes.h>
#include <memory>
#include <string>
#include <iostream>
#include "learning_action_cpp/action/fibonacci.hpp"
#include "rclcpp/rclcpp.hpp"
// TODO(jacobperron): Remove this once it is included as part of 'rclcpp.hpp'
#include "rclcpp_action/rclcpp_action.hpp"
class MinimalActionClient : public rclcpp::Node
{
public:
using Fibonacci = learning_action_cpp::action::Fibonacci;
using GoalHandleFibonacci = rclcpp_action::ClientGoalHandle<Fibonacci>;
explicit MinimalActionClient(const rclcpp::NodeOptions & node_options = rclcpp::NodeOptions())
: Node("minimal_action_client", node_options), goal_done_(false)
{
this->client_ptr_ = rclcpp_action::create_client<Fibonacci>(
this->get_node_base_interface(),
this->get_node_graph_interface(),
this->get_node_logging_interface(),
this->get_node_waitables_interface(),
"fibonacci");
this->timer_ = this->create_wall_timer(
std::chrono::milliseconds(500),
std::bind(&MinimalActionClient::send_goal, this));
}
bool is_goal_done() const
{
return this->goal_done_;
}
void send_goal()
{
using namespace std::placeholders;
this->timer_->cancel();
this->goal_done_ = false;
if (!this->client_ptr_) {
RCLCPP_ERROR(this->get_logger(), "Action client not initialized");
}
if (!this->client_ptr_->wait_for_action_server(std::chrono::seconds(10))) {
RCLCPP_ERROR(this->get_logger(), "Action server not available after waiting");
this->goal_done_ = true;
return;
}
auto goal_msg = Fibonacci::Goal();
goal_msg.order = 10;
RCLCPP_INFO(this->get_logger(), "Sending goal");
auto send_goal_options = rclcpp_action::Client<Fibonacci>::SendGoalOptions();
send_goal_options.goal_response_callback =
std::bind(&MinimalActionClient::goal_response_callback, this, _1);
send_goal_options.feedback_callback =
std::bind(&MinimalActionClient::feedback_callback, this, _1, _2);
send_goal_options.result_callback =
std::bind(&MinimalActionClient::result_callback, this, _1);
auto goal_handle_future = this->client_ptr_->async_send_goal(goal_msg, send_goal_options);
}
private:
rclcpp_action::Client<Fibonacci>::SharedPtr client_ptr_;
rclcpp::TimerBase::SharedPtr timer_;
bool goal_done_;
void goal_response_callback(std::shared_future<GoalHandleFibonacci::SharedPtr> future)
{
auto goal_handle = future.get();
if (!goal_handle) {
RCLCPP_ERROR(this->get_logger(), "Goal was rejected by server");
} else {
RCLCPP_INFO(this->get_logger(), "Goal accepted by server, waiting for result");
}
}
void feedback_callback(
GoalHandleFibonacci::SharedPtr,
const std::shared_ptr<const Fibonacci::Feedback> feedback)
{
RCLCPP_INFO(
this->get_logger(),
"Next number in sequence received: %" PRId32,
feedback->sequence.back());
}
void result_callback(const GoalHandleFibonacci::WrappedResult & result)
{
this->goal_done_ = true;
switch (result.code) {
case rclcpp_action::ResultCode::SUCCEEDED:
break;
case rclcpp_action::ResultCode::ABORTED:
RCLCPP_ERROR(this->get_logger(), "Goal was aborted");
return;
case rclcpp_action::ResultCode::CANCELED:
RCLCPP_ERROR(this->get_logger(), "Goal was canceled");
return;
default:
RCLCPP_ERROR(this->get_logger(), "Unknown result code");
return;
}
RCLCPP_INFO(this->get_logger(), "Result received");
for (auto number : result.result->sequence) {
RCLCPP_INFO(this->get_logger(), "%" PRId32, number);
}
}
}; // class MinimalActionClient
int main(int argc, char ** argv)
{
rclcpp::init(argc, argv);
auto action_client = std::make_shared<MinimalActionClient>();
while (!action_client->is_goal_done()) {
rclcpp::spin_some(action_client);
}
rclcpp::shutdown();
return 0;
}