Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Comau Provides Advanced Battery Cell Formation and Testing System to Slovenia’s National Institute of Chemistry
Comau has successfully delivered a laboratory-scale cell formation and testing solution to Slovenia’s National Institute of Chemistry (NIC). This customized system is designed to facilitate material validation, product development, and cycle life testing, integrating industrial processes into a research environment while maintaining necessary flexibility. The significance of this delivery lies in its ability to accommodate various battery cell formats, including pouch, cylindrical, and prismatic cells, on a single platform. This versatility allows researchers and industrial partners to explore a wide range of battery technologies, bridging the gap between academic research and commercial development. Looking ahead, the NIC facility is poised to support both academic and industrial users in battery research and testing across Europe. No further timeline was disclosed at the time of publication.
Industrial robots News Science battery automation battery cell formation battery cell testing
National Technology Launches Advanced Joint Motor Control Solution with Shenzhen Institute of Advanced Technology
National Technology has announced a new generation of integrated joint motor control solutions for humanoid robots in collaboration with the Shenzhen Institute of Advanced Technology. This solution utilizes the high-performance dual-core MCU N32H785, which integrates drive control, a frameless torque motor, dual absolute encoders, a communication module, and a reducer, addressing the challenges of compact and modular design in robotic systems. The humanoid robot market is experiencing significant growth, with global shipments expected to exceed 50,000 units this year, reflecting a year-on-year increase of over 700%. However, the complexity of joint control remains a critical challenge, as each robot contains numerous joints that must perform motor control, encoder processing, multi-protocol communication, and safety protection within tight spaces. The new solution aims to enhance the performance of joint control systems by separating motor control and communication tasks across two dedicated cores, ensuring real-time performance and stability. As the industry continues to evolve, the focus will be on the successful implementation of this technology in mass production scenarios.
Humanoid Robots Motor Control Robotics Technology Embedded Systems
Comau Delivers Advanced Battery Testing Solution to National Institute of Chemistry
Comau has successfully developed and delivered a laboratory-scale cell formation and testing solution to the National Institute of Chemistry (NIC). This turnkey system is designed to support material validation, product development, and cycle life testing, integrating industrial processes into a research environment. The significance of this solution lies in its ability to manage various cell formats, including pouch, cylindrical, and prismatic cells, on a single platform. This flexibility allows NIC to bridge the gap between academic research and commercial battery development, enhancing the testing capabilities for both researchers and industrial users. Looking ahead, NIC is well-positioned to support battery research and testing needs across Europe. Comau's solution not only meets stringent safety requirements but also showcases the company's broader capabilities in battery manufacturing, with plans to present its offerings at The Battery Show North America in October 2026.
Argonne National Laboratory launches ChemGraph framework for automated chemistry simulations
Researchers at Argonne National Laboratory have introduced ChemGraph, an open-source framework that automates complex computational chemistry simulations using AI agents. Built on the Aurora exascale supercomputer, ChemGraph simplifies the simulation process by allowing users to describe scientific problems in plain language, which the system then translates into computational tasks. This innovation aims to enhance research in materials science, battery design, and combustion systems by streamlining workflows and reducing the need for specialized expertise. The significance of ChemGraph lies in its ability to combine large language models with agent-based automation, enabling researchers to conduct simulations without manually navigating every technical step. By distributing tasks among AI agents, the framework enhances efficiency and reduces costs associated with computational resources. This approach not only improves the accuracy of simulations but also allows for the integration of various scientific software and libraries, ensuring that results are physics-based rather than solely reliant on language model outputs. Looking ahead, ChemGraph's open-source nature has already led to adaptations for other applications, such as X-ray absorption spectroscopy and high-throughput materials screening. The research team envisions further educational applications, providing a platform for professors to teach advanced computational techniques while simplifying the exploration of research questions for students. No further timeline was disclosed at the time of publication.
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