Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
- simulation
- robotics
- kinematics
- virtual-reality
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Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
An optimization-based multi-sensor state estimator
g2o: A General Framework for Graph Optimization
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.
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
:zap: The Mobile Robot Programming Toolkit (MRPT)
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
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
Motion Generation for Robots and Machines. Real-time. Jerk-constrained. Time-optimal.
An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A Modular Optimization framework for Localization and mApping (MOLA)
AI-IMU Dead-Reckoning
DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
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.
Real-Time 3D Semantic Reconstruction from 2D data
Real time semantic slam in ROS with a hand held RGB-D camera
This repository contains multiple approaches for generating global racetrajectories.
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
A robust sensor fusion library for online localization.
TUM Roborace Team Software Stack - Path tracking control, velocity control, curvature control and state estimation.
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds