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A configuration describes the pose of the robot, and the configuration space C is the set of all possible configurations. For example: If the robot is a single point (zero-sized) translating in a 2-dimensional plane (the workspace), C is a plane, and a configuration can be represented using two parameters (x, y).
Example of Multi-Agent Path Finding in a grid environment. The problem of Multi-Agent Pathfinding (MAPF) is an instance of multi-agent planning and consists in the computation of collision-free paths for a group of agents from their location to an assigned target.
Routing types used in flight planning are: airway, navaid and direct. A route may be composed of segments of different routing types. For example, a route from Chicago to Rome may include airway routing over the U.S. and Europe, but direct routing over the Atlantic Ocean.
Other routes While a flight plan is produced for a specific route, flight dispatchers may wish to consider alternative routes. A flight planning system may produce summaries for, say, the next 4 best routes, showing zero fuel weight and total fuel for each possibility. Reclear selection
Vehicle Routing Problem with Multiple Trips (VRPMT): The vehicles can do more than one route. Open Vehicle Routing Problem (OVRP): Vehicles are not required to return to the depot. Inventory Routing Problem (IRP): Vehicles are responsible for satisfying the demands in each delivery point [ 7 ]
Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).
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