Stars
C++ library to implement invariant extended Kalman filtering for aided inertial navigation.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Library (based on libkondo4) to control the Kondo KHR-3HV robot.
Dynamics, MPC, LQR, etc. One repo to rule them all.
Mujoco based Robotic arm simulator with an Esim-based neuromorphic vision sensor simulator, rendered in Unity3D
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
digital signal processing library for software-defined radios
A collection of robotics simulation environments for reinforcement learning
Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
An efficient implementation of the Double Description Method
Official codebase for TRILL (Teleoperation and Imitation Learning for Loco-manipulation)
A curated list of resources relevant to legged locomotion learning of robotics.
CAD files for various boards, components and parts
Probabilistic Contact State Estimation for Legged Robots in ROS
A curated list of awesome embedded programming.
[SIGGRAPH2022] Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search
C++ library to transfer dynamic, packetized data fast and reliably via serial output, generalized for non-Arduino microcontrollers.
Python package to transfer data in a fast, reliable, and packetized form
Arduino library to transfer dynamic, packetized data fast and reliably via Serial, I2C, or SPI
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Automatically exported from code.google.com/p/v-hacd
Examples of how to use Drake in your own project.