Hann Nguyen's starred repositories
mobile-aloha
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
diffusion_policy
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
extreme-parkour
ICRA 2024: Train your parkour robot in less than 20 hours.
python_motion_planning
Motion planning and Navigation of AGV/AMR:python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, DWA, APF, LQR, MPC, RPP, DDPG, Bezier, Dubins etc.
quarto-web
Quarto website
Simulately
A universal summary of current robotics simulators
ContinuumRobotExamples
An incremental guide to continuum robot mathematical modeling and numerical implementation. The examples are divided into chapters within the folder structure, and each chapter contains a PDF and code examples.
motion-planners
Python implementations of several robotic motion planners
deep_lagrangian_networks
Open-source implementation of Deep Lagrangian Networks (DeLaN)
Lyapunov_Stable_NN_Controllers
Lyapunov-stable Neural Control for State and Output Feedback
rlss23-dqn-tutorial
Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023
parallel-DDP
Code supporting the WAFR paper "A Performance Analysis of Differential Dynamic Programming on a GPU," and the ICRA workshop follow on work deploying the algorithm onto robot hardware.
sniffle-workshop
An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)
Neural-Networks-for-Solving-Differential-Equations
Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.