faust-wang Goto Github PK
Name: Faust
Type: User
Company: Sun Yat-sen University
Bio: Collective intelligence
Location: Guangzhou, China
Name: Faust
Type: User
Company: Sun Yat-sen University
Bio: Collective intelligence
Location: Guangzhou, China
Simulate the path planning and trajectory planning of quadrotors/UAVs.
Python Version of F-16 Maneuver Verification Benchmark
Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight
Agile flight done right!
利用值函数逼近网络设计无人机空战自主决策系统,目前是初步的程序编写,之后会不断更新和详解。
A drone control system based on deep reinforcement learning with Tensorflow and ROS
Deep Learning Book Chinese Translation
PyTorch implementation of classical deep reinforcement learning algorithms
Fixed-Wing UAV Obstacles Avoidance with Deep Q-Learning
Application of echo state network (ESN) for the nonlinear control of a fixed-wing unmanned aerial vehicle (UAV)
A Robust and Efficient Trajectory Planner for Quadrotors
Toolbox for F16 Flight Dynamics and Control Systems Analysis
PX4 Firmware for Prometheus, version 1.10.0
Matlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.
[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Emily, Jon and Zane's 221 final project
Multi-Agent Reinforcement Learning (MARL) papers with code
MAVSim-B: Simulation of MAV dynamics & flight control. The physics and the flight control and navigation algorithms are implemented in MATLAB, while the animation is carried out in Unity 3D. It aims to serve as an easy-to-use flight simulator for the guys who are interested to do research and development on aerial robotics.
ROS nodes for working with the NaturalPoint Optitrack motion capture setup
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Multi-Agent Reinforcement Learning (MARL) papers
#NVJOB Simple Boids (Flocks of Birds, Fish and Insects). Flocking Simulation. Free Unity Asset.
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
Path replanners for UAV for emergency landing (DE4s, GA4s, GH4s, MPGA4s methods).
Common used path planning algorithms with animations.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
:sparkles: A plotter for reinforcement learning (RL)
simulator for the EuRoC MAV challenge
Course project for MPC course
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.