FastLabel Inc. (Headquarters: Shinjuku-Ku, Tokyo; President and CEO: Takeshi Suzuki; hereinafter “FastLabel”), a company supporting the development of robot foundation models and domain-specific Vision-Language-Action (VLA) models, has released OpenLUTRA, an open-source application designed to streamline the collection and analysis of robot learning data. FastLabel is pleased to announce that OpenLUTRA now supports OpenArm 2.0, a fully open-source humanoid robotic arm developed by Enactic Inc. (Headquarters: Shinjuku-Ku, Tokyo; President and CEO: Hiroto Yamamoto; hereinafter “Enactic”). OpenArm 2.0 About OpenArm 2.0 OpenArm is a fully open-source humanoid robot arm designed by Enactic for the purpose of physical AI research and practical application in environments with high opportunities for contact. It provides an integrated environment for data collection and reproducible automated evaluation, guiding individual experiments into shareable progress. "OpenArm 2.0" has been released with improvements over "OpenArm 1.0" in many respects, such as adopting a compact pinch gripper capable of executing tasks even in narrow spaces. About OpenLUTRAOpenLUTRA is an open-source application released by FastLabel for recording and analyzing the quality of data necessary for building AI models for robot control. Equipped with an intuitive UI/UX and a curation function based on automated quality judgment, it enables even non-engineers to conduct robot data collection and ensures the quality of the collected data. Background on OpenArm 2.0 Support In the recent AI robotics field, in order to scale physical AI development at an early stage, it is extremely important to effectively utilize existing excellent research assets. OpenArm, provided by Enactic, has already been widely adopted in research and development fields, and an abundance of research results, datasets, and knowledge utilizing it are being published worldwide. Also with the newly designed "OpenArm 2.0," it is expected that even more research assets will be accumulated and published in the future. On the other hand, when attempting to further expand the scale of data collection based on existing assets, issues in the field such as the "difficulty of operation for non-engineer operators" and "delays in detecting and improving data quality deficiencies" have become major bottlenecks. By connecting "OpenArm 2.0" and OpenLUTRA, everything from building experimental environments backed by worldwide research assets to reliable data accumulation and expanding the scale of data collection becomes possible entirely through open source. Through this powerful synergy, FastLabel will strongly support research and development in the AI robotics field from the data infrastructure side and dramatically accelerate the social implementation of physical AI. Through this powerful combination, FastLabel aims to strengthen the data infrastructure that supports AI robotics research and development and help accelerate the real-world deployment of Physical AI technologies. Comment Tasuku Suenaga Open Source Business Division, Enactic Inc."We are very pleased that FastLabel is joining the OpenArm ecosystem. OpenLUTRA is a wonderful open-source initiative that embodies OpenArm's philosophy of 'Make SOTA Reproducible.' We look forward to working together to expand the circle of peers who resonate with the open-source spirit: 'If you want to go far, go together.'" Join Us as a Physical AI Engineer At FastLabel, we are actively recruiting professional teammates who sincerely approach technology and customers, and who want to challenge solving real-world social issues through the social implementation of AI robotics. Main Roles: Investigation and verification of cutting-edge robot foundation models, learning strategies, and data collection methodologies Training and evaluation of robot foundation models, and realization of robot control using these models Design and systematization of cutting-edge data collection methodologies Resolution of customer issues through implementation in real-world environments Career Opportunities: https://herp.careers/v1/fastlabel/dHh35DUK1nXO Engineering Blog: https://fastlabel.hatenablog.com/ About FastLabel FastLabel, Inc. is committed to building data infrastructure that enables data-centric AI development. The company provides end-to-end support across the AI development lifecycle, including data collection and generation, annotation, model development, and DataOps implementation. In recent years, FastLabel has expanded its focus to the field of physical AI, including robotics, and has been developing data pipelines that support the creation of robot foundation models and Vision-Language-Action (VLA) models. Company Overview Company Name: FastLabel Inc. Headquarters: Shinjuku Sumitomo Building 24F, 2-6-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo, Japan Representative: Takeshi Suzuki, President and CEO Business: Provider of professional services and products supporting Data-centric AI development Website: https://fastlabel.ai/service/robotics Media Contact Corporate Communications FastLabel Inc. E-mail: pr@fastlabel.ai