enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Motion planning - Wikipedia

    en.wikipedia.org/wiki/Motion_planning

    Low-dimensional problems can be solved with grid-based algorithms that overlay a grid on top of configuration space, or geometric algorithms that compute the shape and connectivity of C free. Exact motion planning for high-dimensional systems under complex constraints is computationally intractable .

  3. 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 ]

  4. 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.

  5. Category:Search algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Search_algorithms

    Download as PDF; Printable version; ... Path planning (1 C, 4 P) S. ... Pages in category "Search algorithms" The following 118 pages are in this category, out of 118 ...

  6. Pathfinding - Wikipedia

    en.wikipedia.org/wiki/Pathfinding

    The above algorithms are among the best general algorithms which operate on a graph without preprocessing. However, in practical travel-routing systems, even better time complexities can be attained by algorithms which can pre-process the graph to attain better performance. [2] One such algorithm is contraction hierarchies.

  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 ...

  8. Multi-agent pathfinding - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_pathfinding

    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.

  9. Probabilistic roadmap - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_roadmap

    The probabilistic roadmap [1] planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. An example of a probabilistic random map algorithm exploring feasible paths around a number of polygonal obstacles