LaonPeople Enters AI Robotics Market with ‘Intelligent Robot Integrated Control Technology Development

Company Strengthens Competitiveness in Government-Led AI Robotics Initiatives

Digital twin–based virtual testbed (image on the left)

LaonPeople has successfully developed an integrated control solution technology for intelligent robots and equipment, significantly strengthening its competitive edge in the government-led AI robotics sector.

This achievement is the result of the ‘Next-Generation Intelligent Robot Integrated Control Development Project,’ led by LaonPeople. Supported by the Institute for Information & Communications Technology Planning and Evaluation (IITP) under the Ministry of Science and ICT, the project aimed to develop robot integrated control technology applicable to various industrial fields, including manufacturing, logistics, medical care, and human care.

The research involved collaboration with partners such as JooWon Technology, the Korea Institute of Industrial Technology (KITECH), the Korea Textile Machinery Research Institute, and the Industry-Academic Cooperation Foundation of Sungkyunkwan University. The consortium successfully completed the development of Edge Brain technology, which handles robot decision-making, control, and collaboration. Additionally, simulation verification of logistics processes was concluded based on a Digital Twin environment.

The developed technology is designed to enable robots to derive the optimal work methods in manufacturing and logistics processes by utilizing digital twin simulations and intelligent edge servers. A key feature is its integration of AI vision and robot control technology, which ensures stable productivity and efficiency even in complex processes or unstructured work environments.

Building on advanced AI vision technology for object recognition, pose estimation, and grasping of unstructured objects, LaonPeople plans to expand the scope of application beyond manufacturing and logistics to various sectors, including medical care, human care, and bio-health. Moving forward, the company intends to advance the 3D process simulation-based digital twin environment to evolve into future strategic businesses, such as cloud manufacturing management and AI service robots.

Industry observers anticipate that this research outcome, characterized as an integrated control technology combining an AI platform with robotics, will serve as a core foundational technology driving smart manufacturing innovation and the next-generation AI industry.