Doosan Robotics Innovation Center/Courtesy of Doosan Robotics

Doosan Robotics disclosed on the 28th that in the first quarter of this year, on a consolidation basis, it posted revenue of 15.3 billion won and an operating loss of 12.1 billion won.

Revenue rose 189.7% from a year earlier. The operating loss was similar to the first quarter of last year, but the deficit narrowed compared with the previous quarter's operating loss of 16.5 billion won. Net loss was 9.2 billion won, a slight reduction from 9.4 billion won in the first quarter of last year.

The increase in revenue was driven by expanding demand at home and abroad. In Korea, demand grew as the government promoted various pilot projects using robots. In Europe, the customer base expanded, and the inclusion of OneXia's results following last year's acquisition also contributed to higher revenue.

However, Doosan Robotics said the operating loss was due to higher labor costs from expanding OneXia's production capacity and hiring additional AI and R&D staff. Although revenue grew, upfront investments to expand the North American business and secure next-generation robot technologies were reflected in earnings.

The U.S. subsidiary serves as a base for expanding in North America and global markets. Doosan Robotics last year launched a new U.S. subsidiary by combining OneXia with its existing U.S. unit. Revenue in the U.S. subsidiary's EOL (End-of-Line, the final process in a manufacturing line where products are packaged and palletized) segment increased 127% from a year earlier. The order backlog secured is about 20 billion won.

Doosan Robotics is also pursuing expanded production capacity and additional staffing in line with the U.S. subsidiary's growth. This year, it plans to strengthen sales in North America and Europe while securing technologies for intelligent robot solutions and an industrial humanoid business.

Doosan Robotics will focus on developing next-generation collaborative robot models with enhanced performance and safety features, and on building its own AI model platform and data infrastructure. In the second half, it also plans to launch a palletizing solution that applies various AI technologies. The company is continuously reviewing partnerships and mergers and acquisitions (M&A) to secure additional technologies.

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