| AbstractSearchState | Base class for a search state |
| Adjacency | |
| AdjacencyListSBPLEnv< Coords > | SBPL Environment represented as an adjacency list graph |
| ADPlanner | Anytime D* search planner: all states are uniquely defined by stateIDs |
| ADSEARCHSTATEDATA | Generic state structure in the search tree generated by AD* |
| ADSEARCHSTATESPACE | Statespace of AD* |
| ARAPlanner | ARA* planner |
| ARASEARCHSTATEDATA | State structure used in ARA* search tree |
| ARASEARCHSTATESPACE | Statespace of ARA* |
| BELIEFSTATEWITHBINARYHVALS | |
| BINARYHIDDENVARIABLE | |
| bresenham_param_t | |
| CBucket | |
| CELLV | |
| CHeap | |
| CIntHeap | |
| CKey | |
| CList | |
| CMDP | |
| CMDPACTION | |
| CMDPSTATE | |
| CSlidingBucket | |
| DiscreteSpaceInformation | Base class for environments defining planning graphs It is independent of the graph search used The main means of communication between environment and graph search is through stateID. Each state is uniquely defined by stateID and graph search is ONLY aware of stateIDs. It doesn't know anything about the actual state variables. Environment, on the other hand, maintains a mapping from stateID to actual state variables (coordinates) using StateID2IndexMapping array |
| ENV_NAV2D_CONFIG | |
| ENV_NAV2DUU_CONFIG | |
| ENV_NAVXYTHETALAT_CONFIG | |
| ENV_ROBARM_CONFIG | |
| ENV_XXX_CONFIG | |
| ENVHASHENTRY | |
| EnvironmentNAV2D | 2D (x,y) grid planning problem. For general structure see comments on parent class DiscreteSpaceInformation |
| EnvironmentNAV2D_t | |
| EnvironmentNAV2DUU | This class is NOT fully yet implemented, please do not use it! |
| EnvironmentNAV2DUU_t | |
| EnvironmentNAVXYTHETALAT | |
| EnvironmentNAVXYTHETALAT_t | |
| EnvironmentNAVXYTHETALATTICE | 3D (x,y,theta) planning using lattice-based graph problem. For general structure see comments on parent class DiscreteSpaceInformation For info on lattice-based planning used here, you can check out the paper: Maxim Likhachev and Dave Ferguson, " Planning Long Dynamically-Feasible Maneuvers for Autonomous Vehicles", IJRR'09 |
| EnvironmentNAVXYTHETAMLEVLAT | This is x,y,theta lattice planning but with multiple levels in z. In other words, it is for doing collision checking in 3D (x,y,z). The z level is split into numofzlevs levels. If numofzlevs = 1, then it defaults to the original x,y,theta lattice planning defined in EnvironmentNAVXYTHETALAT. Otherwise, it uses numofzlevs footprints of the robot and corresponding costmaps. It assumes that they correspond to each other and are projections of the robot and corresponding z regions of the 3D map |
| EnvironmentROBARM | Planar kinematic robot arm of variable number of degrees of freedom |
| EnvironmentROBARM_t | |
| EnvironmentXXX | This is just an example of environment and can be used (copy and paste) for creating a more complex environment |
| EnvironmentXXX_t | |
| EnvNAVXYTHETALAT2Dpt_t | |
| EnvNAVXYTHETALAT3DCELL | |
| EnvNAVXYTHETALAT3Dpt_t | |
| EnvNAVXYTHETALATAction_t | |
| EnvNAVXYTHETALATHashEntry_t | |
| EnvNAVXYTHETAMLEVLATAddInfoAction_t | |
| ENVROBARMHASHENTRY | |
| ENVXXXHASHENTRY | |
| HEAPELEMENT | |
| HEAPINTELEMENT | |
| listelement | |
| MDPConfig | |
| NAV2D_CELL | |
| Point2D | |
| POLICYBELIEFSTATEWITHBINARYHVALS | |
| PPCPPlanner | PPCP planner in explanations, S signifies a fully observable part of the state space H signifies hidden variables |
| PPCPPLANNERSTATEDATA | State for PPCP |
| PPCPSTATESPACE | PPCP statespace |
| RSTARACTIONDATA_T | Action in Gamma graph. Each action in Gamma graph corresponds to a path |
| RSTARLSEARCHSTATEDATA | Low-level (local) search state in R* |
| RSTARLSEARCHSTATESPACE | Local search statespace in R* |
| RSTARPlanner | RSTAR* planner |
| RSTARSEARCHSTATEDATA | High level states in R* search |
| RSTARSEARCHSTATESPACE | Statespace |
| SBPL2DGridSearch | 2D search itself |
| sbpl_2Dcell_t | |
| SBPL_2DGridSearchState | Search state corresponding to each 2D cell |
| sbpl_2Dpt_t | |
| SBPL_Exception | |
| SBPL_xytheta_mprimitive | |
| SBPLPlanner | Pure virtual base class for a generic planner |
| STATE2D_t | |
| StateChangeQuery | See comments in sbpl/src/planners/planner.h about the what and why of this class |
| VIPlanner | Value iteration planner |
| VIPLANNER_T | |
| VIPLANNERSTATEDATA | Value Iteration state |
