Autonomous Navigation
Showing 20 of 20 projects
A production-grade navigation framework for autonomous mobile robots built on ROS 2.
A robust and efficient trajectory planner enabling quadrotor fast flight in complex unknown environments.
An open-source ROS-based quadruped controller framework for building and controlling legged robots, based on MIT Cheetah research.
Open-source flight software, simulator, and tools for NASA's Astrobee free-flying robots on the International Space Station.
An optimal trajectory planner for mobile robots using Timed Elastic Bands to optimize paths considering time, obstacles, and kinodynamic constraints.
3D Trajectory Planner in Unknown Environments
An open-source 3D LIDAR-based mapping framework for semi-automatic, interactive correction of SLAM mapping failures.
ROS package implementing a deep reinforcement learning algorithm for dynamic obstacle avoidance in ground robots.
A ROS node for probabilistic 3-D/6-DOF localization of mobile robots using 3-D LIDAR pointclouds and Monte Carlo localization.
Real-time Bayesian terrain traversability mapping and motion planning system for ROS-compatible unmanned ground vehicles using LiDAR point clouds.
A ROS-based system for robot localization and mapping using ceiling or floor-mounted fiducial markers.
ROS driver and configuration for MiR autonomous mobile robots, enabling simulation and control via the Robot Operating System.
A ROS wrapper for libviso2, enabling visual odometry for monocular and omnidirectional camera systems in robotics.
A ROS library for robust plane segmentation from LIDAR, depth camera data, and elevation maps using normal-based clustering.
A ROS 2 node for real-time LiDAR ground segmentation using a two-phase grid-based algorithm for robotic perception.
ROS drivers and tools for Piksi RTK GPS modules, enabling high-precision positioning in robotic systems.
A ROS2 port of LeGO-LOAM, a lightweight and ground-optimized LiDAR odometry and mapping system for ground vehicles.
ROS2 wrapper for Basalt visual-inertial odometry (VIO) system, enabling real-time 6DOF pose estimation.
ROS2/DDS robot package demonstrating human following and swarm avoidance capabilities on ADLINK Neuron hardware.
A ROS2 driver for controlling Sphero robots, enabling robotic development and research with Sphero platforms.
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