Advanced_Robotics_Lab3/2221212/ik_server.cpp

54 lines
1.7 KiB
C++

#include <ros/ros.h>
#include <eigen3/Eigen/Dense>
#include <opencv2/core/core.hpp>
#include "poppy_ros/ik.h" // Replace with the actual path to the service header file
// Assuming Kinematics is a class that encapsulates inverse kinematics calculations
class Kinematics {
public:
Eigen::VectorXd inverseKinematics(const Eigen::Matrix4d &target_transform) {
// Placeholder for IK calculation
// Return the calculated joint values as Eigen::VectorXd
}
// Additional methods to load DH parameters and IK configurations
void loadDHParameters(/* parameters */) {
// Load DH parameters
}
void loadIKConfigurations(/* parameters */) {
// Load IK configurations
}
};
Kinematics kinematics;
bool ikServiceCallback(poppy_ros::ik::Request &req, poppy_ros::ik::Response &res) {
// Convert ROS message types to Eigen types
Eigen::Matrix4d target_transform;
// Assuming that req.position and req.orientation need to be converted to a 4x4 transformation matrix
// You'll need to implement this conversion based on your specific requirements
Eigen::VectorXd joint_values = kinematics.inverseKinematics(target_transform);
// Convert Eigen::VectorXd to std_msgs::Float64MultiArray
res.joint_values.data = std::vector<double>(joint_values.data(), joint_values.data() + joint_values.size());
return true;
}
int main(int argc, char** argv) {
ros::init(argc, argv, "ik_server");
ros::NodeHandle nh;
// Load DH and IK parameters into kinematics object
// kinematics.loadDHParameters(...);
// kinematics.loadIKConfigurations(...);
ros::ServiceServer service = nh.advertiseService("ik", ikServiceCallback);
ROS_INFO("IK Server Ready.");
ros::spin();
return 0;
}