Robust Field Autonomy Lab's repositories
lidar_super_resolution
Simulation-based Lidar Super-resolution for Ground Vehicles
turtlebot_exploration_3d
Autonomous Exploration package for a Turtulebot equiped with RGBD Sensor(Kinect, Xtion)
DRL_graph_exploration
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
jackal_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 Learning
spin_hokuyo
spinning Hokuyo form 3D point cloud
em_exploration
Autonomous Exploration with Expectation-Maximization
Distributional_RL_Navigation
[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning
Stochastic_Road_Network
[UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Multi_Robot_Distributional_RL_Navigation
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
RobustFieldAutonomyLab.github.io
Robust Field Autonomy Lab Website
explo_turtlebot_dev
Shawn
Stevens-VLP16-Dataset
This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus
turtlebot_exploration_3d-release
release for turtlebot exploration 3d package in ROS --RFAL 2016
guassianSOStest
feedback motion planning