Master nodes, topics, publishers, subscribers, services, and action servers on modern ROS 2 Humble/Iron distributions.
Real-time 2D/3D LiDAR sensor integration, depth cameras, IMU Kalman filtering, and Nav2 autonomous waypoint navigation.
Direct hands-on programming on differential-drive and Mecanum mobile robot platforms with live arena challenges.
The AxiLearn ROS Robotics Training & Workshop is an industry-grade experiential program tailored for engineering colleges and research departments. Participants transition from core Linux robotics fundamentals to simulating complex robot kinematics in Gazebo, implementing SLAM (Simultaneous Localization and Mapping), and deploying autonomous navigation algorithms on physical mobile robotic platforms.
Linux CLI, ROS 2 workspace build system (Colcon), nodes, topics, message serialization, services, actions, and launch files.
Unified Robot Description Format (URDF/Xacro), TF2 transform trees, physics simulation setup in Gazebo, and actuator plugins.
Interfacing 2D/3D LiDAR, Intel RealSense depth sensors, point cloud processing in PCL, and IMU orientation filtering.
Cartographer and SLAM Toolbox 2D/3D map generation, costmap layers, A*/Dijkstra global path planners, and DWB local controller.
Forward and inverse kinematics, MoveIt 2 planning pipelines, collision avoidance, and pick-and-place gripper control.
Porting algorithms to physical mobile robot hardware, arena trials, obstacle course races, and student performance evaluation.
Book an on-campus demonstration, request turnkey lab setup proposals, or customize syllabi for your department.