tanjunkai2001
Tan Junkai from Hunan, China, studying Complex & intelligent control theory at @Xi'an Jiaotong University.
Xi'an Jiaotong University @XJTU-BIR Xi'an
tanjunkai2001's Stars
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
James-Yu/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
itcharge/LeetCode-Py
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
waymo-research/waymo-open-dataset
Waymo Open Dataset
HKUST-Aerial-Robotics/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
ZJU-FAST-Lab/ego-planner
lugh56/control-and-system-book
textbook about control, robotics, system
CHH3213/chhRobotics
自动驾驶规划控制python代码实现
Intelligent-Driving-Laboratory/GOPS
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
robotarium/robotarium-matlab-simulator
MATLAB simulator for the Robotarium!
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Amos-Chen98/mobile_robots_motion_planning
深蓝学院《移动机器人运动规划》作业代码 - Amos98
lujingweihh/Adaptive-dynamic-programming-algorithms
Adaptive dynamic programming
Taoistzou/event-triggered-consensus
事件触发一致性及其对应的文献
sriram-2502/KoopmanMPC_Quadrotor
Develop a Koopman operator based MPC for controlling a quadrotor
Stanford-ILIAD/active-preference-based-gpr
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
baggiogi/data_driven_control
thaipduong/SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
SafeRoboticsLab/Dual_Control_HRI
Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
Amos-Chen98/quadsim
北京航空航天大学《四旋翼飞行器建模仿真综合实验》
WestlakeIntelligentRobotics/Shape-assembly-code
ManUtdMoon/Distributional-Reachability-Policy-Optimization
Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
soc-ucsd/LQG_gradient
Gradient descent algorithms for LQG control
ZhaoyongLiu/Introduction-to-research-articles
BigBangxx/USVController
The controller of unmanned surface vehicle, also applies to unmanned ground vehicle.
6lackmitchell/nonlinear-fxt-adaptation-control
aiyou94/Dynamic-movement-primitives
Implementation of a framework developed by Prof. Stefan Schaal for motor control in humanoid robots
Stephen-SMJ/RoboMaster
RoboMatser 2022无人飞行智能感知技术竞赛,香港理工大学,Pass所有目标。全国第28名。
CKPerrusquia/CPhy-ML
This repository provides the data and code of the paper "Uncovering Drone Intentions using Control Physics Informed Machine Learning"