| footstep_planner::environment_params | |
| footstep_planner::EuclideanHeuristic | Determining the heuristic value by the euclidean distance between two states |
| footstep_planner::EuclStepCostHeuristic | Determining the heuristic value by the euclidean distance between two states, the expected step costs to get from one state to the other and the difference between the orientation of the two states multiplied by some cost factor. (NOTE: choosing this angular difference cost might overestimate the heuristic value.) |
| footstep_planner::Footstep | A class representing a footstep (i.e. a translation and rotation of a specific foot with respect to the supporting leg) that can be performed by a humanoid robot |
| footstep_planner::FootstepNavigation | A class to control the performance of a planned footstep path on the NAO robot |
| footstep_planner::FootstepPlanner | A class to control the interaction between ROS and the footstep planner |
| footstep_planner::FootstepPlannerEnvironment | A class defining a footstep planner environment for humanoid robots used by the SBPL to perform planning tasks |
| footstep_planner::FootstepPlannerNode | Wrapper class for FootstepPlanner, providing callbacks for the node functionality |
| FootstepPlannerWallsNode | Wrapper class for FootstepPlanner, providing callbacks for the node functionality. This node additionally sets wall regions for the footstep planner, from a dedicated map callback |
| footstep_planner::Heuristic | An abstract super class providing methods necessary to be used as heuristic function within the FootstepPlanner |
| footstep_planner::FootstepPlannerEnvironment::IntPairHash | |
| footstep_planner::FootstepPlannerEnvironment::less | < operator for planning states |
| footstep_planner::PathCostHeuristic | Determining the heuristic value by calculating a 2D path from each grid cell of the map to the goal and using the path length as expected distance |
| footstep_planner::PlanningState | A class representing the robot's pose (i.e. position and orientation) in the underlying SBPL. More precisely a planning state is a discrete representation of the robot's supporting leg |
| footstep_planner::PlanningStateChangeQuery | |
| footstep_planner::State | A class representing the robot's pose (i.e. position and orientation) in the (continuous) world view. More precisely a state points to the robot's supporting leg |
