YQ-Wang (rand0md00r)

rand0md00r

Geek Repo

Company:SEU

Location:Nanjing Jiangsu China

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YQ-Wang's repositories

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casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

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autoware

Autoware - the world's leading open-source software project for autonomous driving

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ros_motion_planning

Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA etc.

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apollo

An open autonomous driving platform

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teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

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far_planner

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

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tare_planner

TARE Exploration Planner for Ground Vehicles

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CartesianPlanner

Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

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path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

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Fast-Planner

A Robust and Efficient Trajectory Planner for Quadrotors

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mpc_local_planner

learn about mpc local planner

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lattice_planner

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

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ros_nav_scout

在ros中仿真松灵scout机器人的建图与导航

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hybrid-astar-planner

Hybrid A* Path Planner

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gerona

GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.

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grad_traj_optimization

Gradient-Based Online Safe Trajectory Generator

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