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MRXT: The Multi-Robot eXploration Tool
Multi-Robot autonomous exploration and mapping simulator.
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Implements an exploration algorithm that chooses its target cell using a cost-utility model. More...
#include <IGPlanner.h>

Public Member Functions | |
| InformationGainPlanner (const ConfigFile &config) | |
| Constructor. | |
| virtual | ~InformationGainPlanner () |
| Destructor. | |
Private Member Functions | |
| void | execute () |
| virtual method for the thread main process. | |
| void | onStop () |
| this virtual method will be executed when the stop method is called | |
| int | setup () |
| this virtual method will be executed when trying to start the thead, must return 0 if ok | |
| int | utility (const gridMapInterface &omap, const binMap &esz) |
Private Attributes | |
| ClMutex | closing |
| bool | completedPath |
| float | cost_weight |
| bool | endPlanner |
| int | inflate_obstacles |
| std::vector< point > | path |
| float | replanning_period |
| bool | showPlanner |
| float | utility_radius |
| float | utility_weight |
Implements an exploration algorithm that chooses its target cell using a cost-utility model.
Value = IG - Cost
IG: is the expected number of visible cells from that frontier cell
Cost: is the length of the path to arrive to the cell
The target frontier cell that maximizes the value is chosen
Definition at line 38 of file IGPlanner.h.
1.7.6.1