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stereo_ptam · uoip
Python implementation of SLAM algorithm Stereo-PTAM
Navigation & SLAMTHE EMBODIED AI DIRECTORY
Explore mapping, localization, odometry and navigation software for autonomous robots.
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Python implementation of SLAM algorithm Stereo-PTAM
Navigation & SLAM
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Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)
Navigation & SLAM
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Point-cloud-based 3D localization and mapping framework.
Navigation & SLAM
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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…
Navigation & SLAM
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A multi-platform 2D and 3D SLAM system.
Navigation & SLAM
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UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/
Navigation & SLAM
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The code for paper 'Towards Learning a Generalist Model for Embodied Navigation'
Navigation & SLAM
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Pointcloud-based graph SLAM written in C++ using open3D library.
Navigation & SLAM
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Official repo of "ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments"
Navigation & SLAM
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A collection of GTSAM factors and optimizers for point cloud SLAM
Navigation & SLAM
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DiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B. With its SLAMTEC Lidar and the ROS Control hardware interface it's capable of navigating in an…
Navigation & SLAM
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Point-SLAM: Dense Neural Point Cloud-based SLAM
Navigation & SLAM
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Ultra-Fusion: A Resilient Tightly-Coupled Multi-Sensor Fusion SLAM Framework under Sensor Degradation and Spatiotemporal Perturbation
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Active Neural SLAM code for learning to explore environments.
Navigation & SLAM
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Leg-KILO: Robust Kinematic-Inertial-Lidar Odometry for Dynamic Legged Robots
Navigation & SLAM
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Code and Data of the CVPR 2022 paper: Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
Navigation & SLAM
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An Optimization-Based GNSS/INS Integrated Navigation System
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Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment…
Navigation & SLAM
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Edge deployment guide for InternNav-based perception and navigation on Unitree Go2 / Go2W / B2 robots (ROS 2, RealSense, Python).
Navigation & SLAM
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A Python-based lightweight robot simulator designed for navigation, control, and learning
Navigation & SLAM
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Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
Navigation & SLAMSELECTION NOTES
Match sensors, coordinate frames and localization assumptions to the deployment environment. Mapping, pose estimation, path planning and obstacle avoidance serve different parts of the navigation stack.
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