ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
- slam-algorithms
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ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
The Kalibr visual-inertial calibration toolbox
Behavior Trees Library in C++. Batteries included.
RTAB-Map library and standalone application
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Universal grid map library for mobile robotic mapping
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
An open source platform for visual-inertial navigation research.
High-performance C++ library for multiphysics and multibody dynamics simulations
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
An open-source library for sim and real robot demos on top of MuJoCo.
The Open Motion Planning Library (OMPL)
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
gradslam is an open source differentiable dense SLAM library for PyTorch
A cross-platform C++20 3D library with Python bindings and the high-level API of three.js.
Automated, hardware-independent Hand-Eye Calibration
IKPy, an Universal Inverse Kinematics library
robotic motion planning library
Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.