ugo Inc., a developer of business digital transformation robots, has entered into a business partnership agreement with FastLabel Inc., which supports all processes required for data-centric AI development, from data collection and generation to annotation, model development, and DataOps construction. The two companies are pleased to announce that they will collaborate in research and development, system integration, and sales activities in the AI robotics business they are both developing.
As the issues of a declining birthrate, aging population, and labor shortages grow larger every year, expectations for next-generation robotics utilizing AI are rapidly growing in industries such as manufacturing, construction, logistics, and services. To address these issues, there is a need for flexible systems that allow humans and robots to work together and adapt to diverse on-site environments. To achieve this approach, it is essential to combine the flexibility of robot hardware with the ability to learn AI using vast amounts of high-quality data.
FastLabel has strengths in high-precision data collection and annotation for AI development, and has built a track record in building data pipelines specialized in the fields of generative AI and autonomous driving. Meanwhile, ugo provides the technological foundation that enables collaboration between humans and robots through the development of advanced robotic platforms.
Also Read: iRobotics, Koyo Kikai and AirBridge Advance Drone Safety
Through this collaboration, the two companies will combine their respective strengths to establish a system that provides comprehensive support for robot implementation, from formulating a concept to collecting and generating imitation learning data and verifying robot operation. By deepening their collaboration, the two companies aim to create new value by supporting the resolution of social issues facing the industrial sector, such as the need for greater efficiency and labor shortages, from the perspective of AI robotics development.
SOURCE: PRTimes

