Starred repositories
JAX implementations of robust neural networks from the ACFR.
Weave your frames into matplotlib animations
Compile-time safe C++ library for accurate coordinate transformations and navigation in mobile robotics.
A short guide to LaTeX that avoids legacy cruft.
Rex is a JAX-powered framework for sim-to-real robotics.
Offical code release for DynoSAM: Dynamic Object Smoothing And Mapping. Accepted Transactions on Robotics (Visual SLAM SI). A visual SLAM framework and pipeline for Dynamic environements, estimatin…
Lichtblick is an integrated visualization and diagnosis tool for robotics, available in your browser or as a desktop app on Linux, Windows, and macOS.
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
A list of awesome and popular robot learning environments
ROS 2 interface for the Reach Alpha 5 manipulator.
ROS 2 platform for underwater robotics research and development.
Docker hacks for quick and easy access to ROS2 and ROS1 along with their GUI applications like Gazebo and rViz without the need for a local installation
A1 SLAM: Quadruped SLAM using the A1's onboard sensors
An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
Tool for safe ergonomic Rust/C++ interop driven from existing C++ headers
A collection of the application documents I used to apply to universities in the US.
Code needed to replicate the examples from "Learning Hybrid Control Barrier Functions from Data" by L. Lindemann et al., to appear at CoRL 2020.
OpenSHC: A Versatile Multilegged Robot Controller
sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"