Yumeng-Xiu's starred repositories
Navigate_Multiple_Robots
Navigate multiple robots in simulation using this code.
velodyne_simulator
URDF description and Gazebo plugins to simulate Velodyne laser scanners - fork from BitBucket: https://bitbucket.org/DataspeedInc/velodyne_simulator
gazebo_sensor_collection
Collection of ROS/Gazebo ready URDF sensors that can be attached to any model with ease
turtlebot3
ROS packages for Turtlebot3
ORCAStarROS
Decentralized navigation system based on ORCA and Theta* algorithms and implemented as ROS nodes
CrowdNav_Prediction_AttnGraph
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
drl_vo_nav
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
pedsim_ros_with_gazebo
Pedestrian ROS simulator with Gazebo and differential wheeled robots
Fusion360GalleryDataset
Data, tools, and documentation of the Fusion 360 Gallery Dataset
stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
MovingObjectRemoval
CV approach aimed to remove moving objects in videos (dynamic and static camera)
papsmear-classic-segmentation
Imaging Coursework: Non-Deep-Learning Segmentation of Pap Smear Images
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
CLF_CBF_NMPC_python
This is an unofficial python implement of nonlinear model predictive control with control Lyapunov functions and control barrier functions (CLF-CBF-NMPC).
CLF-CBF-QP
Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.
CBF-CLF-Helper
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
cpp_new_features
2021年最新整理, C++ 学习资料,含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction