Neurolab: "Deeprobics Takes First Place at Quadruped Robot Autonomous Driving Competition"

Neurolab announced on March 10 that its partner company Deeprobics' platform took first place at the Autonomous Driving Competition for Quadruped Robots during the Korea Robot Conference. Neurolab is 27% owned by EM&AI, a KOSDAQ-listed company.

Deep Robotics Robot. Neurolab

This competition required quadruped robots to complete a course using autonomous navigation. The course featured both snowy and regular surfaces, with the difficulty increased by snow-made step obstacles. Completing the course was difficult using only GPS-based navigation; instead, lidar-based perception and real-time obstacle avoidance capabilities were essential, resulting in some robots failing to finish.

The majority of participating robots were based on the Unitree platform, but the first place was claimed by the research team of Professor Moon Hee-chang from Hongik University, who used the Deeprobics platform. Instead of relying on the manufacturer's default control structure, Professor Moon's team implemented their own proprietary algorithms and custom controller. By directly installing a lidar sensor, they created an independent autonomous driving architecture, and their platform-independent design contributed to their success.

A Neurolab representative stated, "The outcome of this competition demonstrates the potential for expansion based on independent algorithms, overcoming the limitations of platform functionality," and added, "We have confirmed the possibility of building an autonomous robot ecosystem suited to domestic conditions."

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