Rita1024

Rita1024's Stars

• MetaSLAM/AutoMemory_Docker

  BioSLAM: A Bio-inspired Lifelong Localization System

  662

• nv-tlabs/lift-splat-shoot

  Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

  Language:Python1.1k222

• BouzoulasDimitrios/ROS-autonomous-bot

  Demo of a self-navigating robot with global and local path planning using Rviz gazebo and ROS melodic

  Language:CMake3

• KavitShah1998/Autonomous_Mobile_Robot_Navigation_In_ROS

  A project for Motion Planning: Combined application of A* with RRT* where A* acts as a global planner and RRT* acts as a local planner

  Language:C++476

• amov-lab/Prometheus

  Open source software for autonomous drones.

  Language:C++2.6k427

• wql9/Navigation-planning-in-dynamic-and-static-environment

  动静态环境下的导航规划：基于小型足球机器人仿真平台完成dwa、rrt+dwa、A_star+dwa及rrt+feedback算法

  Language:Python181

• leggedrobotics/learning_quadrupedal_locomotion_over_challenging_terrain_supplementary

  Supplementary materials for "Learning Locomotion over Challenging Terrain"

  Language:C++18842

• kucar17/RRT-Path-Planning-Algorithm

  This script is designed for the demonstration of a Sampling Based RRT Path Planning which creates a path for a robot in an environment which consists of obstacles.

  Language:MATLAB124

• iitkcpslab/TStar

  T* : A Heuristic Search Based Path Planning Algorithm for Temporal Logic Specifications

  Language:C++52

• yorgoon/minimum-snap-geometric-control

  Quadrotor control using minimum snap trajectory optimization and SE3 geometric controller

  Language:MATLAB11031

• fdcl-gwu/uav_geometric_controller

  UAV node for ROS

  Language:Python45

• adrianomcr/vectorfield_stack

  Navigation control algorithms based on artificial vector fields

  Language:Python117

• zm0612/Minimum-Snap

  使用C++对Minimum Snap算法进行了实现，实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法

  Language:C++20847

• ethz-asl/mav_voxblox_planning

  MAV planning tools using voxblox as the map representation.

  Language:Makefile483138

• thinhhoang95/geometric-quadrotor

  Implementation of nonlinear geometric quadrotor control on MATLAB/Simulink

  Language:MATLAB37

• fdcl-gwu/uav_simulator

  Python - Gazebo Simulation Environment for a UAV with Geometric Control

  Language:Python12031

• zbC137/geometric_tracking_control

  A MATLAB implementation of geometric tracking control for a quadrotor UAV on SE(3)

  Language:MATLAB202

• Tororoi/astar-pathfinding-js

  Site for experimenting with pathfinding algorithms

  Language:JavaScript3

• qiao/PathFinding.js

  A comprehensive path-finding library for grid based games

  Language:JavaScript8.5k1.3k

• edwardsCam/a-star

  Learning the A-Star pathfinding algorithm

  Language:JavaScript1

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML32.5k10.7k

• verbal-noun/a-star-pathfinding-family

  This repository is part of my work for the Melbourne Space Program. In this repository I have implemented variations of the a-start pathfinding algorithm. The purpose is to compare efficiency metrics and have a code base variations.

  Language:Python42

• pgeerkens/HexGridUtilitiesForGames

  Hex-grid utilities for board and strategy games with path-finding, field-of-view, and more

  Language:C#14430

• AlurienFlame/Honeycomb

  A* pathfinding in a hexagonal grid.

  Language:JavaScript3

• flauwekeul/honeycomb

  Create hex grids easily, in node or the browser.

  Language:TypeScript64459

• moribots/motion_planning

  Motion Planning Library to accompany turtlebot3_from_scratch repository. Deployed PRM, Grid Map, A*, Theta*, LPA*, D* Lite*, Potential Field, and MPPI.

  Language:C++17537

• amslabtech/dwa_planner

  ROS implementation of DWA(Dynamic Window Approach) Planner

  Language:C++46185

• karlkurzer/path_planner

  Hybrid A* Path Planner for the KTH Research Concept Vehicle

  Language:C++1.6k543

• marinaKollmitz/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.

  Language:C++21982

• sichkar-valentyn/Reinforcement_Learning_in_Python

  Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

  Language:Python423111