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LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable TerrainDiSCo-SLAM
lidar_super_resolution
Simulation-based Lidar Super-resolution for Ground Vehiclesturtlebot_exploration_3d
Autonomous Exploration package for a Turtulebot equiped with RGBD Sensor(Kinect, Xtion)la3dm
Learning-aided 3D mappingDRL_graph_exploration
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphsjackal_dataset_20170608
Bag files captured using a Clearpath Jackal Robot, which is equipped with a Velodyne VLP-16 and low-end IMU sensor. The published point cloud topic is \velodyne_points. The published IMU data topic is \imu\data.DRL_robot_exploration
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement LearningDistributional_RL_Navigation
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement LearningMulti_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learningspin_hokuyo
spinning Hokuyo form 3D point cloudem_exploration
Autonomous Exploration with Expectation-Maximizationbluerov
BlueROV2 ROS PackageStochastic_Road_Network
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network EnvironmentMission-Oriented-GP-Motion-Planning
waypoint_navigation
Multi-Robot-EM-Exploration
RobustFieldAutonomyLab.github.io
Robust Field Autonomy Lab Websitevideoray
motion_hokuyo
loam
loam package, adopted...spin_hokuyo-release
eth_icp_mapper_indigo
eth_icp_mapper adopted to work in indigoturtlebot_exploration_3d-release
release for turtlebot exploration 3d package in ROS --RFAL 2016multi_robot_exploration
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