Gasgoo Munich- On June 15, MagicLab, Anxing Energy, and Jingchi Intelligence formally inked a national strategic partnership in Suzhou. Guided by the theme "Uniting the Chain, Empowering the Future," the trio will collaborate deeply on R&D for industrial-grade service robots, their large-scale deployment in communities, and commercial operations. The goal is to bridge the entire industry chain—from R&D and delivery to operations and after-sales—creating a replicable, scalable lifecycle service system for robots.
Image Source: MagicLab
Under the agreement, MagicLab will leverage its in-house, full-stack embodied AI technology to provide critical support across core components, motion control, multimodal perception, and navigation. The company will deploy a product matrix featuring general-purpose humanoid robots and quadrupeds tailored for community applications. Anxing Energy, meanwhile, will tap its nationwide network of community channels and physical outlets to drive market expansion, branding, and on-the-ground deployment, effectively bridging the "last mile" for robots entering community service. Jingchi Intelligence is tasked with full lifecycle equipment management—ranging from supply and on-site maintenance to troubleshooting and parts replacement—establishing a standardized after-sales system to ensure long-term, stable operations.
The embodied intelligence sector is currently shifting from technical validation to real-world application. Community settings—encompassing high-demand services like security patrols, facility maintenance, elderly care, and last-mile delivery—are viewed as a critical frontier for scaling intelligent service robots. This partnership will prioritize these core scenarios, aiming to fuse robotics with community service systems. The objective is to boost operational efficiency and service quality, accelerating the deepening development of smart communities.
By integrating resources across R&D, channels, operations, and service, this collaboration represents a significant industry effort to drive robotic adoption at scale. Looking ahead, the three partners plan to continue deploying robots in communities while refining product capabilities, operational frameworks, and service networks. The aim is to expand the boundaries of robotic applications in community service and accelerate the transition of embodied intelligence from validation to industrial reality.
