在机器人抓取任务中,创建合适的抓取位姿(Grasp Pose)是关键步骤。下面我将详细介绍如何使用MoveIt在ROS2中创建和配置抓取位姿。
1. 准备工作
1.1 确保已安装MoveIt
bash
sudo apt install ros-${ROS_DISTRO}-moveit
1.2 创建MoveIt配置包
如果你还没有MoveIt配置包,可以使用MoveIt Setup Assistant创建:
bash
ros2 launch moveit_setup_assistant setup_assistant.launch.py
2. 定义抓取位姿
2.1 创建抓取姿态消息
msg/GraspPose.msg:
text
# 抓取位姿 geometry_msgs/PoseStamped pose # 抓取方向 (可选) string approach_direction # 如"top", "side", "front" # 抓取宽度 (单位:米) float32 grasp_width # 抓取质量评分 (0-1) float32 quality
2.2 在CMakeLists.txt中添加消息生成
cmake
find_package(rosidl_default_generators REQUIRED)
rosidl_generate_interfaces(${PROJECT_NAME}
"msg/GraspPose.msg"
DEPENDENCIES geometry_msgs
)
3. 使用MoveIt Grasp Library
3.1 创建抓取数据配置文件
config/grasps.yaml:
yaml
grasps:
- id: "top_grasp"
pose:
position: {x: 0.0, y: 0.0, z: 0.1}
orientation: {x: 0.707, y: 0.0, z: 0.0, w: 0.707}
approach_direction: "top"
grasp_width: 0.05
quality: 0.9
pre_grasp_posture: [0.0, 0.0] # 夹爪预抓取位置
grasp_posture: [0.8, 0.8] # 夹爪抓取位置
- id: "side_grasp"
pose:
position: {x: 0.0, y: 0.05, z: 0.0}
orientation: {x: 0.0, y: 0.707, z: 0.0, w: 0.707}
approach_direction: "side"
grasp_width: 0.04
quality: 0.7
pre_grasp_posture: [0.0, 0.0]
grasp_posture: [0.7, 0.7]
3.2 创建抓取位姿生成器
src/grasp_pose_generator.cpp:
cpp
#include <rclcpp/rclcpp.hpp>
#include <moveit/move_group_interface/move_group_interface.h>
#include <moveit/planning_scene_interface/planning_scene_interface.h>
#include <moveit_msgs/msg/grasp.hpp>
#include <geometry_msgs/msg/pose_stamped.hpp>
#include <tf2_geometry_msgs/tf2_geometry_msgs.h>
#include <yaml-cpp/yaml.h>
class GraspPoseGenerator : public rclcpp::Node
{
public:
GraspPoseGenerator() : Node("grasp_pose_generator")
{
// 加载抓取配置
this->declare_parameter("grasp_config", "");
std::string grasp_config = this->get_parameter("grasp_config").as_string();
if (grasp_config.empty()) {
RCLCPP_ERROR(this->get_logger(), "未提供抓取配置文件路径");
return;
}
// 解析YAML文件
try {
YAML::Node config = YAML::LoadFile(grasp_config);
loadGraspConfigurations(config);
} catch (const YAML::Exception & e) {
RCLCPP_ERROR(this->get_logger(), "加载抓取配置失败: %s", e.what());
}
}
private:
std::vector<moveit_msgs::msg::Grasp> grasps_;
void loadGraspConfigurations(const YAML::Node & config)
{
const YAML::Node & grasp_nodes = config["grasps"];
for (const auto & grasp_node : grasp_nodes) {
moveit_msgs::msg::Grasp grasp;
// 设置抓取位姿
grasp.grasp_pose.header.frame_id = "world";
grasp.grasp_pose.pose.position.x = grasp_node["pose"]["position"]["x"].as<double>();
grasp.grasp_pose.pose.position.y = grasp_node["pose"]["position"]["y"].as<double>();
grasp.grasp_pose.pose.position.z = grasp_node["pose"]["position"]["z"].as<double>();
grasp.grasp_pose.pose.orientation.x = grasp_node["pose"]["orientation"]["x"].as<double>();
grasp.grasp_pose.pose.orientation.y = grasp_node["pose"]["orientation"]["y"].as<double>();
grasp.grasp_pose.pose.orientation.z = grasp_node["pose"]["orientation"]["z"].as<double>();
grasp.grasp_pose.pose.orientation.w = grasp_node["pose"]["orientation"]["w"].as<double>();
// 设置预抓取和抓取姿态
for (const auto & value : grasp_node["pre_grasp_posture"]) {
grasp.pre_grasp_posture.points[0].positions.push_back(value.as<double>());
}
for (const auto & value : grasp_node["grasp_posture"]) {
grasp.grasp_posture.points[0].positions.push_back(value.as<double>());
}
// 设置抓取方向
std::string direction = grasp_node["approach_direction"].as<std::string>();
setApproachDirection(grasp, direction);
// 设置其他参数
grasp.grasp_quality = grasp_node["quality"].as<double>();
grasp.max_contact_force = 0.0; // 使用默认值
grasps_.push_back(grasp);
}
RCLCPP_INFO(this->get_logger(), "加载了 %zu 个抓取配置", grasps_.size());
}
void setApproachDirection(moveit_msgs::msg::Grasp & grasp, const std::string & direction)
{
geometry_msgs::msg::Vector3Stamped approach;
approach.header.frame_id = "world";
if (direction == "top") {
approach.vector.z = -1.0; // 从上方接近
} else if (direction == "side") {
approach.vector.y = -1.0; // 从侧面接近
} else if (direction == "front") {
approach.vector.x = 1.0; // 从前方接近
}
grasp.pre_grasp_approach.direction = approach;
grasp.post_grasp_retreat.direction = approach;
// 设置接近和撤退距离
grasp.pre_grasp_approach.desired_distance = 0.1;
grasp.pre_grasp_approach.min_distance = 0.05;
grasp.post_grasp_retreat.desired_distance = 0.1;
grasp.post_grasp_retreat.min_distance = 0.05;
}
void generateGraspPoses(const geometry_msgs::msg::PoseStamped & object_pose)
{
// 创建MoveIt接口
auto move_group_interface = moveit::planning_interface::MoveGroupInterface(shared_from_this(), "arm_group");
auto planning_scene_interface = moveit::planning_interface::PlanningSceneInterface();
// 转换抓取位姿到物体坐标系
std::vector<moveit_msgs::msg::Grasp> object_grasps;
for (const auto & grasp : grasps_) {
moveit_msgs::msg::Grasp transformed_grasp = grasp;
// 转换位姿到物体坐标系
tf2::Transform object_tf, grasp_tf, result_tf;
tf2::fromMsg(object_pose.pose, object_tf);
tf2::fromMsg(grasp.grasp_pose.pose, grasp_tf);
result_tf = object_tf * grasp_tf;
transformed_grasp.grasp_pose.pose = tf2::toMsg(result_tf);
transformed_grasp.grasp_pose.header = object_pose.header;
object_grasps.push_back(transformed_grasp);
}
// 执行抓取规划
move_group_interface.planGraspsAndPick("object_id", object_grasps);
}
};
int main(int argc, char * argv[])
{
rclcpp::init(argc, argv);
auto node = std::make_shared<GraspPoseGenerator>();
rclcpp::spin(node);
rclcpp::shutdown();
return 0;
}
4. 动态生成抓取位姿
对于更复杂的场景,可以基于物体几何动态生成抓取位姿:
cpp
#include <moveit/grasp_generation/grasp_generator.h>
void generateDynamicGrasps(const shape_msgs::msg::SolidPrimitive & object_shape,
const geometry_msgs::msg::PoseStamped & object_pose)
{
// 创建抓取生成器
grasp_generation::GraspGenerator generator;
// 设置生成器参数
generator.setGraspAngleDelta(M_PI / 8); // 22.5度间隔
generator.setGraspDepth(0.05); // 抓取深度5cm
generator.setApproachRetreatDesiredDist(0.1);
generator.setApproachRetreatMinDist(0.05);
// 生成抓取位姿
std::vector<moveit_msgs::msg::Grasp> grasps;
generator.generateGrasps(object_shape, object_pose, grasps);
// 可选: 过滤和排序抓取位姿
filterGrasps(grasps);
}
5. 在MoveIt中集成抓取位姿
5.1 创建抓取动作服务器
src/grasp_action_server.cpp:
cpp
#include <rclcpp_action/rclcpp_action.hpp>
#include <control_msgs/action/grasp.hpp>
class GraspActionServer : public rclcpp::Node
{
public:
using Grasp = control_msgs::action::Grasp;
using GoalHandle = rclcpp_action::ServerGoalHandle<Grasp>;
GraspActionServer() : Node("grasp_action_server")
{
// 创建动作服务器
action_server_ = rclcpp_action::create_server<Grasp>(
this,
"grasp_action",
std::bind(&GraspActionServer::handle_goal, this, std::placeholders::_1, std::placeholders::_2),
std::bind(&GraspActionServer::handle_cancel, this, std::placeholders::_1),
std::bind(&GraspActionServer::handle_accepted, this, std::placeholders::_1));
}
private:
rclcpp_action::Server<Grasp>::SharedPtr action_server_;
rclcpp_action::GoalResponse handle_goal(
const rclcpp_action::GoalUUID & uuid,
std::shared_ptr<const Grasp::Goal> goal)
{
RCLCPP_INFO(this->get_logger(), "收到抓取目标");
(void)uuid;
return rclcpp_action::GoalResponse::ACCEPT_AND_EXECUTE;
}
rclcpp_action::CancelResponse handle_cancel(
const std::shared_ptr<GoalHandle> goal_handle)
{
RCLCPP_INFO(this->get_logger(), "抓取动作被取消");
(void)goal_handle;
return rclcpp_action::CancelResponse::ACCEPT;
}
void handle_accepted(const std::shared_ptr<GoalHandle> goal_handle)
{
std::thread{std::bind(&GraspActionServer::execute, this, std::placeholders::_1), goal_handle}.detach();
}
void execute(const std::shared_ptr<GoalHandle> goal_handle)
{
const auto goal = goal_handle->get_goal();
auto result = std::make_shared<Grasp::Result>();
auto feedback = std::make_shared<Grasp::Feedback>();
// 1. 移动到预抓取位置
feedback->state = "移动到预抓取位置";
goal_handle->publish_feedback(feedback);
if (!moveToPose(goal->grasp.pre_grasp_approach.desired_distance)) {
result->success = false;
goal_handle->abort(result);
return;
}
// 2. 接近物体
feedback->state = "接近物体";
goal_handle->publish_feedback(feedback);
if (!moveToPose(goal->grasp.grasp_pose)) {
result->success = false;
goal_handle->abort(result);
return;
}
// 3. 执行抓取
feedback->state = "执行抓取";
goal_handle->publish_feedback(feedback);
if (!executeGrasp(goal->grasp.grasp_posture)) {
result->success = false;
goal_handle->abort(result);
return;
}
// 4. 撤退
feedback->state = "撤退";
goal_handle->publish_feedback(feedback);
if (!moveToPose(goal->grasp.post_grasp_retreat.desired_distance)) {
result->success = false;
goal_handle->abort(result);
return;
}
// 完成
result->success = true;
goal_handle->succeed(result);
}
bool moveToPose(const geometry_msgs::msg::PoseStamped & pose)
{
// 实现移动到指定位姿的逻辑
// 使用MoveGroupInterface进行规划执行
return true;
}
bool executeGrasp(const trajectory_msgs::msg::JointTrajectory & posture)
{
// 实现夹爪控制逻辑
return true;
}
};
int main(int argc, char * argv[])
{
rclcpp::init(argc, argv);
auto node = std::make_shared<GraspActionServer>();
rclcpp::spin(node);
rclcpp::shutdown();
return 0;
}
6. 测试抓取位姿
6.1 使用RViz测试
-
启动MoveIt和RViz:
bash
ros2 launch your_robot_moveit_config demo.launch.py
-
在RViz中:
-
添加"MotionPlanning"显示
-
添加"GraspMarker"显示(如果可用)
-
手动设置目标位姿测试抓取
-
6.2 使用命令行测试
bash
# 发布测试抓取位姿
ros2 topic pub /grasp_pose geometry_msgs/PoseStamped "{
header: {stamp: {sec: 0, nanosec: 0}, frame_id: 'world'},
pose: {
position: {x: 0.4, y: 0.0, z: 0.2},
orientation: {x: 0.0, y: 0.707, z: 0.0, w: 0.707}
}
}"
7. 高级技巧
-
抓取位姿优化:
-
使用Grasp Quality Metrics评估抓取质量
-
考虑物体形状、摩擦系数和夹爪特性
-
-
机器学习方法:
-
使用GraspNet等深度学习模型生成抓取位姿
-
集成6D姿态估计提高抓取精度
-
-
力控抓取:
-
集成力/力矩传感器反馈
-
实现自适应抓取力控制
-
-
多抓取策略:
-
根据物体形状和场景选择最佳抓取方式
-
实现抓取-放置任务序列
-
通过以上方法,你可以在MoveIt中创建有效的抓取位姿,实现可靠的机器人抓取操作。根据你的具体应用场景和硬件配置,可能需要调整参数和算法。
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