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Name: Thai Duong
Type: User
Name: Thai Duong
Type: User
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Sample code for running deterministic variational inference to train Bayesian neural networks
hardware and software design of the 250mm autonomous drone
PX4 Autopilot Software
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Learning Adaptive Control for SE(3) Hamiltonian Dynamics
Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"
Code for paper "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
MAVLink to ROS gateway with proxy for Ground Control Station
Multi-class, Multi-kernel Relevance Vector Machine
Set of plugins, models and worlds to use with OSRF Gazebo Simulator in SITL and HITL.
Repo and website for the project: Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
ROS/PX4 flight controller configured to run in either Gazebo simulation or on Raspberry Pi 3 + Navio 2 hardware.
Coder for "On the Continuity of Rotation Representations"
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
Python package for Bayesian Machine Learning with scikit-learn API
My personal website
Tight Learned Inertial Odometry
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
UMich 500-Level Mobile Robotics 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.