SOSLAB Begins Commercialization Testing of Next-Generation Quadruped Robot Surveillance and Patrol Platform

SOSLAB has started on-site commercialization testing of the next-generation unmanned surveillance and patrol platform in collaboration with the Korea Electronics Technology Institute (KETI) · and Roas.

According to SOSLAB on the 29th, this project is aimed at “Development and demonstration of space intelligence with multimodal sensor-based unmanned surveillance and patrol platform and quadruped robot convergence technology,” with the goal of raising the current Technology Readiness Level (TRL) from Level 6 to Level 8, which is suitable for commercialization in an actual operational environment.

SOSLAB is developing a multimodal sensor and spatial intelligence platform that integrates a 3D LiDAR, an RGB camera, a thermal imaging camera, and an inertial measurement unit (IMU) into a single device. In addition, by applying a multi-joint gimbal, the system will secure a wide field of view to improve the accuracy and efficiency of patrols. The company will also ensure that data from each sensor is precisely synchronized to reliably recognize the surrounding environment.

In this project, SOSLAB is taking charge of integrating the multimodal hardware sensors, developing spatial intelligence algorithms, and creating the control system. The Korea Electronics Technology Institute is responsible for developing AI models for disaster and safety, analyzing abnormal situations, and verifying and demonstrating the performance and quality of the system. Roas will develop the quadruped robot platform, sensor payloads, and robot system interface integration.

The spatial intelligence platform under development is designed with an open architecture to ensure versatility, so it is not dependent on a specific robot. It will be modularized to be instantly applicable not only to quadruped robots but also to wheeled robots, biped robots, and fixed monitoring infrastructure. This will enable the solution to expand its applications to sites requiring continuous safety management such as factories, power plants, data centers, research facilities, airports, and logistics centers.

Jongkyu Jung, Head of the Innovation Vision Center at SOSLAB, stated, “This project elevates multimodal sensors, including LiDAR, beyond simply collecting data; it will advance them into an intelligent patrol platform capable of understanding spaces, detecting abnormal situations, and reporting them to controllers,” adding, “Based on this, we will use the project as a springboard to actively target the global physical AI market.”

This content was produced with the assistance of AI translation services.