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This repository contains the code for the Realistic Multi-Robot Coordination (ReMRoC) Framework.
Virtual worlds from the DARPA subterranean challenge
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation (ICRA 2024)
PyTorch implementation of paper: GaussNav: Gaussian Splatting for Visual Navigation
Tutorial code referenced in https://docs.nav2.org/
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Documentation of open resources developed by competitors in the SubT Challenge, including open-source software and datasets.
3D mapping tools for robotic applications
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A novel framework that utilizes a Sparse Gaussian Process (SGP) to assist robots in navigating autonomously on uneven terrains without using a global map.
Trajectory generation on point clouds
The Mesh Navigation Stack: Efficient Mobile Robot Navigation in Uneven Terrain
Code related with the paper "Whole-body MPC for highly redundant legged manipulators: experimental evaluation with a 37 DoF dual-arm quadruped"
ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).
Graph-based Exploration Planner for Subterranean Environments
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Form Building using drag-and-drop. Uses Quasar Framework and Vue.
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
OpenPCDet for ROS noetic, docker image also provided