towr_ros_interface.h
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29 
30 #ifndef TOWR_INCLUDE_TOWR_ROS_TOWR_ROS_H_
31 #define TOWR_INCLUDE_TOWR_ROS_TOWR_ROS_H_
32 
33 #include <string>
34 
35 #include <ros/ros.h>
36 #include <rosbag/bag.h>
37 
39 #include <xpp_msgs/RobotStateCartesian.h>
40 #include <xpp_msgs/RobotParameters.h>
41 #include <towr_ros/TowrCommand.h>
42 
43 #include <towr/nlp_formulation.h>
44 #include <ifopt/ipopt_solver.h>
45 
46 
47 namespace towr {
48 
49 
58 public:
59  using XppVec = std::vector<xpp::RobotStateCartesian>;
60  using TowrCommandMsg = towr_ros::TowrCommand;
61  using Vector3d = Eigen::Vector3d;
62 
63 protected:
65  virtual ~TowrRosInterface () = default;
66 
70  virtual void SetTowrInitialState() = 0;
71 
79  virtual Parameters GetTowrParameters(int n_ee, const TowrCommandMsg& msg) const = 0;
80 
85  virtual void SetIpoptParameters(const TowrCommandMsg& msg) = 0;
86 
89 
90 private:
94 
98 
99  void UserCommandCallback(const TowrCommandMsg& msg);
100  XppVec GetTrajectory() const;
101  virtual BaseState GetGoalState(const TowrCommandMsg& msg) const;
102  void PublishInitialState();
103  std::vector<XppVec>GetIntermediateSolutions();
104  xpp_msgs::RobotParameters BuildRobotParametersMsg(const RobotModel& model) const;
105  void SaveOptimizationAsRosbag(const std::string& bag_name,
106  const xpp_msgs::RobotParameters& robot_params,
107  const TowrCommandMsg user_command_msg,
108  bool include_iterations=false);
110  const std::vector<xpp::RobotStateCartesian>& traj,
111  const std::string& topic) const;
112 };
113 
114 } /* namespace towr */
115 
116 #endif /* XPP_OPT_INCLUDE_XPP_ROS_OPTIMIZER_NODE_H_ */
std::shared_ptr< IpoptSolver > Ptr
towr_ros::TowrCommand TowrCommandMsg
std::vector< xpp::RobotStateCartesian > XppVec
::ros::Publisher initial_state_pub_
::ros::Subscriber user_command_sub_
double visualization_dt_
duration between two rviz visualization states.
virtual Parameters GetTowrParameters(int n_ee, const TowrCommandMsg &msg) const =0
Formulates the actual TOWR problem to be solved.
ifopt::IpoptSolver::Ptr solver_
NLP solver, could also use SNOPT.
virtual void SetTowrInitialState()=0
Sets the base state and end-effector position.
Base class to interface TOWR with a ROS GUI and RVIZ.
void UserCommandCallback(const TowrCommandMsg &msg)
virtual BaseState GetGoalState(const TowrCommandMsg &msg) const
::ros::Publisher robot_parameters_pub_
SplineHolder solution
the solution splines linked to the opt-variables.
xpp_msgs::RobotParameters BuildRobotParametersMsg(const RobotModel &model) const
ifopt::Problem nlp_
the actual nonlinear program to be solved.
std::vector< XppVec > GetIntermediateSolutions()
void SaveOptimizationAsRosbag(const std::string &bag_name, const xpp_msgs::RobotParameters &robot_params, const TowrCommandMsg user_command_msg, bool include_iterations=false)
void SaveTrajectoryInRosbag(rosbag::Bag &, const std::vector< xpp::RobotStateCartesian > &traj, const std::string &topic) const
virtual ~TowrRosInterface()=default
NlpFormulation formulation_
the default formulation, can be adapted
virtual void SetIpoptParameters(const TowrCommandMsg &msg)=0
Sets the parameters of the nonlinear programming solver IPOPT.


towr_ros
Author(s): Alexander W. Winkler
autogenerated on Sat Apr 13 2019 02:28:05