#include <MPPIOptimizer.hpp>
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| MPPIResult | compute_control (const geometry_msgs::msg::Pose ¤t_pose, const nav_msgs::msg::Path &path, const pcl::PointCloud< pcl::PointXYZ > &points) |
| | Computes the control commands using MPPI optimization.
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| | MPPIOptimizer (double num_samples, double horizon_steps, double dt, double lambda, double max_lin_vel=1.0, double max_ang_vel=1.0, double max_lin_acc=1.0, double max_ang_acc=1.0, double fov=M_PI/2.0, double safety_radius=0.6) |
| | Constructor for MPPIOptimizer.
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◆ MPPIOptimizer()
| MPPIOptimizer |
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double | num_samples, |
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double | horizon_steps, |
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double | dt, |
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double | lambda, |
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double | max_lin_vel = 1.0, |
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double | max_ang_vel = 1.0, |
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double | max_lin_acc = 1.0, |
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double | max_ang_acc = 1.0, |
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double | fov = M_PI / 2.0, |
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double | safety_radius = 0.6 ) |
Constructor for MPPIOptimizer.
- Parameters
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| num_samples | Number of samples to generate for MPPI. |
| horizon_steps | Number of steps in the prediction horizon. |
| dt | Time step for the simulation. |
| lambda | Temperature parameter for MPPI. |
| max_lin_vel | Maximum linear velocity in m/s. |
| max_ang_vel | Maximum angular velocity in rad/s. |
| max_lin_acc | Maximum linear acceleration in m/s^2. |
| max_ang_acc | Maximum angular acceleration in rad/s^2. |
| fov | Field of view in radians for trajectory sampling. |
| safety_radius | Safety radius for obstacle avoidance in meters. |
◆ compute_control()
| MPPIResult compute_control |
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const geometry_msgs::msg::Pose & | current_pose, |
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const nav_msgs::msg::Path & | path, |
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const pcl::PointCloud< pcl::PointXYZ > & | points ) |
Computes the control commands using MPPI optimization.
- Parameters
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| current_pose | Current pose of the robot. |
| path | Planned path to follow. |
| points | Point cloud of the environment. |
- Returns
- MPPIResult containing the best control commands and trajectories.
The documentation for this class was generated from the following files: