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motionplanner's Projects

aa-sipp-m icon aa-sipp-m

Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

astar_planner_ros icon astar_planner_ros

A global planner plugin of a grid-based A-star search algorithm for ROS navigation stack.

cl-cbs icon cl-cbs

An Efficient Multi-Agent Path Finding Solver for Car-Like Robots

cpp-spline icon cpp-spline

Package provides C++ implementation of spline interpolation

dstar-lite-pathplanner icon dstar-lite-pathplanner

Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"

dstarlite icon dstarlite

Repository provides an implementation of D*Lite algorithm adapted for single-shot grid-based 2D environment.

dwa_planner icon dwa_planner

ROS implementation of DWA(Dynamic Window Approach) Planner

far_planner icon far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fast_methods icon fast_methods

N-Dimensional Fast Methods: Fast Marching, Fast Sweeping, Group Marching, Fast Iterative, etc.

fields2cover icon fields2cover

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

fiesta icon fiesta

Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots

gcopter icon gcopter

A General-Purpose Trajectory Optimizer for Multicopters

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

heuristic_path_planners icon heuristic_path_planners

Collection of classes and functions to allow 2D/3D path generation with heuristic algorithms such as A*, Theta* and LazyTheta* and ROS Interfaces

infinitam icon infinitam

An extended infinitam version with a ROS node

iplanner icon iplanner

iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel imperative learning approach

jps3d icon jps3d

A C++ implementation of Jump Point Search on both 2D and 3D maps

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