Pinned Repositories
autonomous-drone
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.
awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
CM3_VN100_set
deterministic-variational-inference
Sample code for running deterministic variational inference to train Bayesian neural networks
Fast-Drone-250
hardware and software design of the 250mm autonomous drone
kernelbasedmap
Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"
LieFVIN
Code for paper "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"
LieGroupHamDL
sbkm
Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
thaipduong's Repositories
thaipduong/SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
thaipduong/sbkm
Code for our paper "Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping".
thaipduong/LieFVIN
Code for paper "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"
thaipduong/LieGroupHamDL
thaipduong/kernelbasedmap
Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"
thaipduong/autonomous-drone
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.
thaipduong/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
thaipduong/CM3_VN100_set
thaipduong/deterministic-variational-inference
Sample code for running deterministic variational inference to train Bayesian neural networks
thaipduong/Fast-Drone-250
hardware and software design of the 250mm autonomous drone
thaipduong/Firmware
PX4 Autopilot Software
thaipduong/gym-pybullet-drones
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
thaipduong/hamadapt
Learning Adaptive Control for SE(3) Hamiltonian Dynamics
thaipduong/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
thaipduong/mavros
MAVLink to ROS gateway with proxy for Ground Control Station
thaipduong/mRVM
Multi-class, Multi-kernel Relevance Vector Machine
thaipduong/PX4-SITL_gazebo
Set of plugins, models and worlds to use with OSRF Gazebo Simulator in SITL and HITL.
thaipduong/refgovham
Repo and website for the project: Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
thaipduong/ROS_Multidrone
ROS/PX4 flight controller configured to run in either Gazebo simulation or on Raspberry Pi 3 + Navio 2 hardware.
thaipduong/RotationContinuity
Coder for "On the Continuity of Rotation Representations"
thaipduong/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
thaipduong/sitl_gazebo
thaipduong/sitl_gazebo_deprecated
thaipduong/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
thaipduong/thaipduong.github.io
My personal website
thaipduong/TLIO
Tight Learned Inertial Odometry
thaipduong/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
thaipduong/UMich-ROB-530-public
UMich 500-Level Mobile Robotics Course
thaipduong/Variational_Integrator_Networks