YERP 119, Yonsei Univ., Yonsei-ro 50, Seodaemun-gu,
Seoul. (03722)
Seoul, South Korea


YERP 119, Yonsei Univ., Yonsei-ro 50, Seodaemun-gu,
Seoul. (03722)
Seoul, South Korea
  • Value Proposition

    We research Cutting-Edge technology. We provide high quality product and service. We offer Right time Right solution.

  • Use Case/Customer Profile

    Security robot “D-Bot Corso” patrols around large edifice and shopping malls and collect information, recognize the space with the camera and sensor. Also, acoustic recognition technology detects the air or sign of fire and provide information to the connected devices that police or the security company.

    • Landmark Shopping Mall in South Korea – Patrol robot Corso patrol and show real-time monitoring by video streaming system
    • Against COVID-19, we have developed a disinfection system on D-Bot Corso. Depending on the situation and environment, we customize spray or UV type disinfection system on the robot.
  • Technology Description

    Dogugonggan’s core technologies are consisting of an integrated robot development process, driving technology source patent, driving environment cognitive solution. We focused on research and development of various autonomous driving solutions combined with emerging technologies such as 5G, AI, and Connected-Car. Our company’s D-Bot Corso includes a Lidar sensor to create a 3D perception area and an artificial intelligence-based algorithm to detect obstructions. Geospatial hardware and software solutions provide rapid and easy mapping and highly accurate monitoring solutions.

    End-to-End Development Capability for 100% Fit Robot Design in the Field Environment

    • Professional manpower and skills to development hardware, software, and design
    • In-house development of robot dedicated circuit (D-Board) specialized indoor/outdoor driving

    Autonomous driving – ‘precise driving’ and ‘driving assistance’ with remote control convergence algorithm (Source Patent)

    • Advanced Autonomous Driving (Tele-operation + Autonomous Fusion Algorithm)
    • Obstacle recognition and avoidance driving technology that can be built-in autonomous vehicles

    Audiovisual environment awareness solution for highly accurate autonomous driving support.

    • SLAM (Simultaneous Localization and Mapping) visualizes the driving route in real-time.
    • SLED (Sound Effect Localization Detection) detects dangerous signals such as sirens, screams.
    • Features for intelligent service delivery, such as using facial recognition and user tracking driving.
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