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pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
High-performance C++ library for multiphysics and multibody dynamics simulations
Index repo for Kimera code
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
RP1: An OpenSource Full-Stack Platform for Agentic Humanoids
LLM-first, 3D-native robotics and simulation workspace.
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.
Real-Time 3D Semantic Reconstruction from 2D data
Real time semantic slam in ROS with a hand held RGB-D camera
YARP - Yet Another Robot Platform
Unmanned Surface Vehicle simulation on Gazebo with water current and winds
Library for working with the AxiDraw v3 pen plotter.
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
Various utilities for the Makeblock XY Plotter Robot Kit
Optimize drawing plan for a polargraph
Python package for inverse kinematic calculations of hybrid serial parallel robots