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  2. Real-time path planning - Wikipedia

    en.wikipedia.org/wiki/Real-time_path_planning

    Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.

  3. Rapidly exploring random tree - Wikipedia

    en.wikipedia.org/wiki/Rapidly_exploring_random_tree

    Real-Time RRT* (RT-RRT*), [18] a variant of RRT* and informed RRT* that uses an online tree rewiring strategy that allows the tree root to move with the agent without discarding previously sampled paths, in order to obtain real-time path-planning in a dynamic environment such as a computer game

  4. Motion planning - Wikipedia

    en.wikipedia.org/wiki/Motion_planning

    Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of valid configurations that moves the object from the source to destination.

  5. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    A* was invented by researchers working on Shakey the Robot's path planning. A* was created as part of the Shakey project, which had the aim of building a mobile robot that could plan its own actions. Nils Nilsson originally proposed using the Graph Traverser algorithm [5] for Shakey's path planning. [6]

  6. Multi-agent pathfinding - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_pathfinding

    When planning, agents have to avoid collisions with paths of other agents with a higher priority that have already computed their plans. Finding a solution for the MAPF problem in such setting corresponds to the shortest path problem in a time-expansion graph. [9] A time-expansion graph is a graph that takes into account the passing of time.

  7. Wavefront expansion algorithm - Wikipedia

    en.wikipedia.org/wiki/Wavefront_expansion_algorithm

    The plan is a trajectory from start to goal and describes, for each moment in time and each position in the map, the robot's next action. Path planning is solved by many different algorithms, which can be categorised as sampling-based and heuristics-based approaches. Before path planning, the map is discretized into a grid. The vector ...

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  9. Any-angle path planning - Wikipedia

    en.wikipedia.org/wiki/Any-angle_path_planning

    Any-angle path planning algorithms are pathfinding algorithms that search for a Euclidean shortest path between two points on a grid map while allowing the turns in the path to have any angle. The result is a path that cuts directly through open areas and has relatively few turns. [ 1 ]