Pinned Repositories
Astar-Route-Planning
AvoidObstaclesWithTarget
Bag-of-visual-words
baxter
baxter_simulator
cpp_starter_project
Just a starter project to start coding in C++
cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
probabilitics-robotics
ros_sim
warehouseRobot
yangfan's Repositories
yangfan/ros_sim
yangfan/probabilitics-robotics
yangfan/warehouseRobot
yangfan/Astar-Route-Planning
yangfan/AvoidObstaclesWithTarget
yangfan/Bag-of-visual-words
yangfan/baxter
yangfan/baxter_simulator
yangfan/cpp_starter_project
Just a starter project to start coding in C++
yangfan/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
yangfan/cs229-ps-2018
My solutions to the problem sets of Stanford cs229, 2018
yangfan/example_opencv
yangfan/greek-symbols
Greek symbols plugin for IntelliJ IDEA
yangfan/homeworks
yangfan/iscloam
Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
yangfan/kmeans-clustering-cpp
A C++ implementation of simple k-means clustering algorithm.
yangfan/Memory-Management-Chatbot
yangfan/mobile-aloha
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
yangfan/modern-cmake-sample
Example library that shows best practices and proper usage of CMake by using targets
yangfan/modern_cpp_ex
yangfan/MultiRobotObsAvd
yangfan/must-have-tools
This is a wikisitory meant to provide some core guidelines on what to do after installing a GNU/Linux distribution from scratch. Forked from https://gitlab.igg.uni-bonn.de/teaching/must-have-tools (internal usage)
yangfan/object-detection
yangfan/package-example
CMake: config mode of find_package command (examples)
yangfan/RVC3-python
Code examples for Robotics, Vision & Control 3rd edition in Python
yangfan/slambook2
edition 2 of the slambook
yangfan/slambook2_in_Docker
This is a Docker image for slambook2 from Dr. Gao Xiang, also it can run on a host machine.
yangfan/stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
yangfan/System-Monitor
yangfan/yangfan.github.io