YaoQii

YaoQii's Stars

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  324k7.8k34027.6k

• fffaraz/awesome-cpp

  A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

  58.7k2k5747.8k

• houshanren/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS26.7k1.4k1485.3k

• RobotLocomotion/drake

  Model-based design and verification for robotics.

  Language:C++3.3k1736.2k1.3k

• karlkurzer/path_planner

  Hybrid A* Path Planner for the KTH Research Concept Vehicle

  Language:C++1.5k4054536

• coin-or/Ipopt

  COIN-OR Interior Point Optimizer IPOPT

  Language:C++1.4k44588278

• dowsnature/dowsDNS

  快速翻跃**防火墙

  Language:Python1.1k9953269

• atb033/multi_agent_path_planning

  Python implementation of a bunch of multi-robot path-planning algorithms.

  Language:Python1.1k1711259

• alim0x/Awesome-Linux-Software-zh_CN

  🐧 一个 Linux 上超赞的应用，软件，工具以及其它资源的集中地。

  965310119

• AutoRally/autorally

  Software for the AutoRally platform

  Language:C++7278265228

• TonnnnnnyLiu/Books

  674200544

• emlog/emlog

  轻量级开源建站系统

  Language:PHP5072494138

• jizhang-cmu/ground_based_autonomy_basic

  Autonomous Navigation and Collision Avoidance for Ground Robots

  Language:C++501195311

• acado/acado

  ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

  Language:C++48040265243

• osrf/subt_hello_world

  Hello World for DARPA SubT Challenge

  Language:C++20321637

• PathPlanning/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.

  Language:C++10181238

• jovanduy/AutonomousParking

  Computational Introduction to Robotics Final Project: Neato autonomous parking

  Language:Python717519