On-Campus Autonomous Mobile Robot Systems

ROS/Autoware integration, LiDAR mapping, detection/tracking, and validation.

Wheelchair-based LiDAR mapping and on-campus autonomous mobile robot driving test
Wheelchair-mounted LiDAR mapping run used to build the campus navigation map.
Ranger Mini v2 autonomous indoor navigation test in a campus hallway
Ranger Mini v2 autonomous indoor navigation test.
Outdoor building-to-building autonomous navigation test with the campus AMR platform
Outdoor building-to-building autonomous navigation segment from the project presentation.
Autoware and LiDAR map screen recording for an indoor-to-outdoor-to-indoor campus autonomous navigation run
Autoware/LiDAR screen recording from an indoor-to-outdoor-to-indoor campus navigation run.
Ranger Mini v2 robot driving from indoors to outdoors and into another campus building
Robot-view clip from the same building-to-building navigation run.

I built Ranger Mini v2 AMR and 1/5-scale autonomous-vehicle test setups for indoor delivery and perception/navigation practice. The work integrated ROS/Autoware, LiDAR-only mapping, DBSCAN/Kalman-filter tracking, YOLO-based avoidance tests, and campus-scale driving experiments for AMR/autonomous-vehicle systems.

  • Role: platform bring-up, CAN/ROS/Autoware integration, LiDAR perception, navigation testing, small-platform setup
  • Tools: ROS2, ROS, Autoware, CAN, LiDAR mapping, DBSCAN, Kalman filtering, object detection/tracking
  • Result: Grand Prize, 2023 Korea University Project Semester; this work also supported the Electronics (2025) indoor delivery path-planning paper and the Sensors (2025) human-shared collision-detection paper.
  • Related papers: Efficient Graph-Based Multi-Story Path Planning with Optimized Elevator Selection for Indoor Delivery Robots; Time-Interval-Based Collision Detection for 4WIS Mobile Robots in Human-Shared Indoor Environments.
Additional platform and mapping views
Ranger Mini v2 mobile robot platform with Velodyne LiDAR and onboard sensors
Ranger Mini v2 platform with LiDAR and onboard sensing hardware.
LiDAR point-cloud map and waypoint editing for on-campus mobile robot navigation
LiDAR-only mapping and waypoint editing for campus navigation tests.
LiDAR-equipped campus mobile robot platform during outdoor mapping and navigation testing
LiDAR-equipped campus mobile robot platform used for outdoor mapping and navigation tests.