OpenLoong Advances Reusable Engineering Base for Humanoid Robots
On October 16, 2026, ROSCon China was held in Shanghai, where the National and Local Co-built Humanoid Robot Innovation Center shared the latest progress of the OpenLoong open-source system. At the event, Avnet, the Center, and Guyueju jointly launched the white paper "From Specialized to General: 2026 Embodied Intelligence Technology Evolution and Industrial Implementation." Avnet and Guyueju further signed a cooperation memorandum.
As humanoid robot body manufacturing and motion algorithms become more mature, the industry's attention is shifting toward software platforms, hardware interfaces, chip adaptation, and engineering development. Currently, robot companies have to build a substantial amount of foundational software, control systems, and hardware interfaces on their own. Given the diversity in robot forms, joint configurations, and computing platforms, migrating an algorithm from one robot to another often demands re-debugging, leading to duplicated efforts and slowing down product development.
The OpenLoong open-source system is designed to reduce such repetitive development work. By providing open-source foundations, it enables companies to reuse common components and focus on their unique value propositions. The collaboration between Avnet and Guyueju integrates chip technology, electronic system design, and product manufacturing into the OpenLoong ecosystem. This partnership aims to establish a reusable engineering base that spans hardware and software, facilitating the efficient deployment of algorithms across different humanoid robots.
The release of the white paper and the signing of the memorandum underscore a collective push toward standardization and modularity in the embodied intelligence sector. By lowering the barriers to entry and fostering interoperability, these initiatives could accelerate the industry's transition from specialized, one-off solutions to general-purpose, scalable platforms. The event highlighted the importance of collaborative engineering foundations for the next stage of humanoid robotics.