본문 바로가기
  • Home

Implementation of an Autonomous Patrol and Risk Detection Module based on WebRTC and ROS2 for a Quadruped Robot

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2025, 21(3), pp.99~112
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : August 29, 2025
  • Accepted : September 20, 2025
  • Published : September 25, 2025

Dong-Ha Hwang 1 Kim Jae Woong 2 Kim Dong Hyun 3

1우송대학교
2국립공주대학교
3나사렛대학교

Accredited

ABSTRACT

This paper implemented a next-generation intelligent autonomous patrol system that can be integrated in complex and unstructured environments using the four-legged walking robot Unitree GO2. This is not an existing fragmentary module implementation, but an integrated system. First, WebRTC and ROS2 were integrated to enable low-latency video streaming and remote control within 200 ms. Second, ROS2-based SLAM and Nav2 were used to actively move along designated patrol routes and avoid obstacles to complete tasks. Third, an object detection model was installed to detect threats (fire, smoke, fallen people, etc.) in real-time during patrol, and the robot's location assistance and ArUco marker on the visitor's recognition table were recognized. Fourth, it is characterized by the construction of message services such as event occurrence and robot status inquiry using the remote control dashboard function and the Discord API to have the end-to-end functions required for security-safety scenarios.

Citation status

* References for papers published after 2024 are currently being built.