zhouliansheng's starred repositories
eskf-gps-imu-fusion
误差状态卡尔曼ESKF滤波器融合GPS和IMU，实现更高精度的定位
LIO-FUSION
A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.
motion-planner-reinforcement-learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Hands-on-RL
https://hrl.boyuai.com/
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
seu-master
东南大学研究生课程资料整理
Probabilistic-Robotics
《概率机器人》书和课后习题
VisualSLam
深蓝学院视觉slam课后作业，以及视觉slam14讲
Extended_Kalman_Filter
基于扩展卡尔曼滤波(EKF)的四旋翼无人机姿态估计 Extended Karman Filtering (EKF) Implemention in Uavs Using Matlab
uav-tutorial
Ultimate Simulink UAV Tutorial
deeplearningbook-chinese
Deep Learning Book Chinese Translation
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Self-Driving-Cars
Coursera Open Courses from University of Toronto
Robotics--Coursera
Courses by University of Pennsylvania via Coursera
AerialRobotics
Simulate the path planning and trajectory planning of quadrotors/UAVs.
Safety-Critical-Control-using-CBFs
Safety-Critical-Control-using-Control-Barrier-Functions
Control-Barrier-function-example
Control Barrier function example
CBF-CLF-Helper
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
Safety-Critical-Control-using-Robust-CBFs
Safety-Critical-Control-using-Robust-CBFs
RBE_502_2017S_Motor_SMC
Terminal sliding mode control for an autonomous motorcycle (Author: Zhenyu Wan, Yicong Xu, Yun Qin)
Nonsingular-fast-terminal-sliding-mode-control-for-nonlinear-dynamical-systems-simulation
the Matlab function of the paper
coursera_robotics
Contains coursera robotics specialization assignment codes