Stars
A comprehensive collection of gazebo models and worlds.
collection of gazebo models and worlds
Code Notes (in Chinese) for 3D Gaussian Splatting
An Efficient Multi-Robot Trajectory Planner for Ground Vehicles.
A demo of multi turtlebot3 navigation in ROS.
A volumetric object-level semantic mapping framework.
Repository of the Multi S-Graphs system, a distributed semantic-relational collaborative SLAM for building-like environments.
Universal grid map library for mobile robotic mapping
This work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are…
[IEEE RA-L 2024]: Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information.
[IROS 2024]: Collaborative graph exploration with reduced pose-SLAM uncertainty via submodular optimization.
[RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Gazebo simulation for my master thesis. Simulates a 2D mobile platfrom with 360 degree laser scan and moves around the office space while saving the measures from laser and odometry.
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
A python package for constructing and analysing minimum spanning trees.
Generating Large Convex Polytopes Directly on Point Clouds (2D)
Implementations of the robust point set registration algorithm described in "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern…
Python implementation of "Robust Point Set Registration Using Gaussian Mixture Models" by Jian & Vemuri, PAMI'11
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
3D Multi-Robot Exploration, Patrolling and Navigation.