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Build your own robot duck. XGO-Duck is a 3D-printable biped powered by Arduino UNO Q and 15 servos, adapted from Pollen Robotics' Microduck. Includes mechanical models, PCB designs, a BOM, and an assembly guide. Build it, explore its motion, and make it your own.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
A practical hardware and software setup for a compact RL-powered biped robot.
A Versatile and Accurate Monocular SLAM
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
TranslatedMicroduck replica: the full robot built with Feetech HD-1910 servos has been verified on real hardware (standing, walking, front roll and getting up). Includes an image, a Studio web control center, CAD/BOM, assembly tutorials, circuit design files and a training platform | Microduck robot replica with real hardware demos.
RotorS is a UAV gazebo simulator
An Open Flexible Quadrotor Simulator
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
gradslam is an open source differentiable dense SLAM library for PyTorch
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
Official Repository of WPILibJ and WPILibC
Automated, hardware-independent Hand-Eye Calibration
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
RP1: An OpenSource Full-Stack Platform for Agentic Humanoids
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A map representation based on 3D segments
Robotics with GPU computing
A Modular Optimization framework for Localization and mApping (MOLA)
IKPy, an Universal Inverse Kinematics library
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LLM-first, 3D-native robotics and simulation workspace.