Hyundai sister companies to showcase advanced smart construction solutions

Hyundai Construction Equipment and Hyundai Doosan Infracore, Seoul, South Korea, will showcase their advanced smart construction solutions and future unmanned construction equipment under the theme of “Intelligent Robotics” at the upcoming Consumer Electronics Show (CES) 2022 that will be held from Jan. 5-8 in Las Vegas.

Both companies are the Hyundai Heavy Industries (HHI) Group’s two construction equipment affiliates. Through the world’s largest international consumer electronics exhibition show, the two companies will present their innovative technologies for the future in the construction equipment industry.

During the CES 2022, the two businesses will promote their Concept-X project that allows for a safe and efficient future construction site based on unmanned and automation technologies and the ‘XiteCloud’, the first product that partially commercialized the technologies of Concept-X.

An Interactive Media Table Zone will be created at the booth so visitors can have a hands-on experience of a series of processes of building an eco-friendly marine city. The table is designed to allow visitors to experience the main functions of XiteCloud, a cloud-based All-in-One construction platform that enables integrated management of construction sites. It provides a "digital construction platform" (XiteAnalyst/XiteFleet) that can analyze and plan 3D information and manage equipment efficiently in a cloud environment, and a "construction automation system" (XiteAuto/XiteSafety) that improves productivity and safety through automation of equipment.

Second, they will exhibit mock-ups of future construction equipment, including excavators, wheel loaders, and dump trucks, and screen a video clip about the Concept-X project to introduce a future of automated/unmanned construction sites. Concept-X is a comprehensive control solution that measures and analyzes the topography of the constructions sites by using 3D drone scanning devices and creates operation plans based on the topography data.