Sixents, ZSIBOT partner to advance embodied AI with high-precision positioning for real-world applications

Shanghai (Gasgoo)- On June 4, Sixents Technology ("Sixents"), a subsidiary of NavInfo, signed a strategic cooperation agreement with ZSIBOT (also dubbed "Zhishen Technology"), a Chinese company in the embodied intelligence field, according to a post on NavInfo's WeChat account.

The two parties will collaborate on upgrading the full technology chain—perception, decision-making, and execution—of embodied agents, with the goal of accelerating commercialization in key use cases such as industrial inspection, emergency response, and household services.

Leveraging its proprietary technologies and mass production capabilities in high-precision positioning, Sixents has already made inroads into the embodied AI space with a unique technical motion solution.

ZSIBOT, meanwhile, specializes in end-to-end services spanning product design, development, and deployment in the embodied intelligence field. Its portfolio includes specialized robots, general-purpose humanoid robots, heavy-duty bipedal robots, mid-size quadrupeds, and compact robotic dogs—many of which are already in delivery and operation.

According to official sources, Sixents has tailored an integrated high-precision positioning solution for ZSIBOT, combining hardware, software, and services. This solution enables three major advancements in robot performance:

Enhanced spatial awareness:

Equipped with a highly integrated pose module and a distributed, cable-free deployment design, the system delivers millimeter-level spatial cognition. It allows precise joint and torso localization to within centimeters and provides real-time feedback on posture, speed, and acceleration. This enables robots to perform complex movements with improved balance and fluidity.

Full-environment adaptability:

By fusing multi-source sensor data with AI algorithms, the system empowers robots with seamless indoor-outdoor transitions and robust obstacle avoidance in dense and dynamic environments. It can even navigate unstructured terrains autonomously, planning optimal paths with agility and precision.

Scenario-based intelligent upgrades:

With advanced digital twin technology, the system reconstructs physical environments based on positioning data, enabling robots to "learn" from these simulations. This foresight-driven decision-making capability helps robots perform complex tasks more effectively.

ZSIBOT's robots equipped with Sixents' positioning modules are already in use across benchmark applications. For instance, in chemical plants, robots can autonomously patrol along pre-set routes and align precisely with equipment for millimeter-level inspection, improving fault detection accuracy by 40%. In the consumer market, household service robots show strong promise. Exoskeleton robots, for example, can help the elderly climb stairs smoothly using dynamic center-of-gravity compensation algorithms, tripling load-handling efficiency.