Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Interview with CreateMe CEO Campbell Myers: From stitching to bonding – physical AI could transform the way clothes are made
Apparel manufacturing continues to be one of the most labor-intensive sectors globally, despite advancements in automation in other industries such as automotive and electronics. The difficulty in automating textile production arises from the unique properties of fabric, which can stretch, wrinkle, and shift unpredictably. This complexity has hindered the development of effective robotic solutions for handling soft materials, leaving the apparel industry largely reliant on human labor. As manufacturers seek to improve efficiency and reduce costs, the challenge of integrating automation into textile production remains a significant hurdle.
Engineering Features Manufacturing adhesive bonding apparel automation apparel industry
CreateMe partners with Avalo and Laguna Fabrics to bring resilience to apparel supply chains
CreateMe has announced a partnership with Avalo and Laguna Fabrics to enhance the resilience of apparel supply chains. This collaboration is focused on showcasing innovative methods for producing clothing more rapidly and locally, addressing the growing demand for efficient and sustainable manufacturing practices. The initiative highlights the importance of strengthening supply chains in the apparel industry, particularly in response to recent global disruptions. By leveraging the expertise of its partners, CreateMe aims to set a new standard for how apparel can be created, ensuring a more robust and adaptable production process.
Agriculture Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Assembly Collaborative Robots
Why deformable materials are physical AI’s real manufacturing test
Createme's CEO has highlighted the potential of Physical AI in revolutionizing the assembly of deformable materials, particularly in the apparel industry. This insight comes as the company explores innovative approaches and software solutions to enhance manufacturing processes. The discussion emphasizes the importance of adapting technology to effectively handle the complexities of working with flexible materials. As the demand for advanced manufacturing techniques grows, the application of Physical AI could serve as a significant test for the industry, showcasing its capabilities beyond traditional manufacturing methods.
6-Axis Artificial Intelligence / Cognition Manufacturing Materials News OpinionRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
