Qiyuan Robotics Appears at the 2026 World Laureates Forum, Releases Personal Robot SSP White Paper

From October 30 to November 1, the 2026 World Laureates Forum was held at the Shanghai Lingang Center. Gao Quanzhong, President of the Central R&D Department at Qiyuan Robotics, attended the Artificial Intelligence Forum and delivered a keynote speech titled "When AI Moves into the Real World: Industrial Practice of Personal Robots," systematically explaining the full-chain thinking on personal robots from product mass production and technology iteration to AI safety governance. At the forum, the "Personal Robot Safety and Privacy Protection (SSP) White Paper" was also released, supplementing the thinking on safety and privacy governance for consumer-grade embodied intelligence beyond technological innovation and product mass production, and providing reference guidance with both practical value and safety principles for the development of the personal robot industry.

Gao Quanzhong, President of the Central R&D Department at Qiyuan Robotics

Currently, large model technology is iterating rapidly, but there is still a significant gap before AI can be deployed at scale in physical home scenarios. Gao Quanzhong believes that, compared with standardized industrial factory environments, robots in home scenarios need to directly confront three core challenges: the physical environment, data collection, and user expectations. Based on this, Qiyuan Robotics takes the first-attempt success rate, failure recovery rate, manual intervention rate, and cost per effective task as the four core indicators for measuring the industrial maturity of home robots, using them to judge whether personal robots can truly be usable and achieve a commercial closed loop.

As the industry's first personal robot brand to achieve consumer-grade mass production, Qiyuan Robotics has completed the leap from technical prototype to physical product. Among them, Qiyuan Q1 is positioned as the industry's first consumer-grade mass-produced personal robot, focusing on three core groups: children's embodied intelligent companions, tech pioneers' embodied trendy toys, and developers' professional experimental platforms; Qiyuan T1, in the form of a transformable humanoid robot, features ultra-safety, ultra-quietness, ultra-strong following, and ultra-strong intelligence.

At the hardware level, Qiyuan Robotics has achieved full-stack in-house development of core modules, and its signature self-developed "Egg Joint" provides a miniaturized, highly safe hardware foundation for adapting robots to home scenarios. For mass production, the production line was built against the dual reliability standards of consumer electronics and the automotive industry, achieving one robot rolling off the line every 2.5 minutes and possessing stable manufacturing and delivery capacity at the ten-thousand-unit level. At the supporting level, it has built a complete HDK/SDK development ecosystem and created an embodied intelligence foundation integrating motion, interaction, and operation, providing support for ecosystem partners to expand home scenario applications.

Forum site

At the AI technology level, Gao Quanzhong focused on introducing the HIL-UMI innovative embodied training paradigm and simultaneously demonstrated its full-stack AI large model capabilities. By eliminating dependence on real-machine data collection, HIL-UMI can compare model prediction results with human operation differences in real time during the teaching process, accurately locating blind spots in model capabilities. Its data collection efficiency is 5.63 times higher than traditional solutions, effectively reducing the data "tuition" for large-scale training of household tasks. Gao Quanzhong stated that in the next stage, the focus of competition in embodied models should not be limited to comparing parameter scale, but should focus on three deployment indicators: experience reuse rate, marginal learning efficiency, and cost per task, following a two-stage relay model evolution path of "imitation learning + reinforcement learning."

At present, Qiyuan Robotics has built full-stack AI large model capabilities such as PrimeMotion, PrimeGo, PrimeVista, and PrimeMind, covering perception, motion control, interaction, and household chores. The brand will also launch a robot Agent based on the Harness architecture and the household chore foundation large model PrimeMind, continuously expanding diverse household chore capabilities.

At the ecosystem-building level, Qiyuan Robotics plans to invest 1 billion yuan over the next five years to build the consumer-grade robot ecosystem "Qiyuan Star Ecosystem Plan," relying on the dual platforms PrimeStore and PrimeHub to connect users, developers, and content partners. It will also open the full set of development tools PrimeFlow and PrimeToolkit to continuously lower the threshold for secondary development; at the same time, it will join hands with education and content partners such as Youdao Hi Echo, Ximalaya, and QQ Music to enrich family companionship and learning experiences, promoting the ecosystem's shift from single-point applications to co-construction and symbiosis.

Jointly releasing the SSP White Paper to complete the "last mile" of safety and privacy governance

While technology and products continue to break through, safety and privacy governance is an unavoidable real issue for consumer-grade embodied intelligence and the "last mile" of large-scale industrial deployment. At this forum, Qiyuan Robotics, together with East China Normal University and the Shanghai World Laureates Development Foundation, jointly released the "Personal Robot Safety and Privacy Protection (SSP) White Paper" (hereinafter referred to as the "White Paper"), providing systematic thinking for the industry's trustworthy product development.

Qiyuan Robotics, together with East China Normal University and the Shanghai World Laureates Development Foundation, releases the "Personal Robot Safety and Privacy Protection (SSP) White Paper"

The "White Paper" points out that with the rapid development of embodied intelligence technology, robots are gradually transforming from tools that execute instructions into intelligent agents capable of perceiving the environment, understanding users, taking proactive actions, and participating in family life, which also poses new challenges to safety, security protection, and privacy.

Based on real home scenarios and user research, the "White Paper" builds a human-centered SSP (Safety, Security, Privacy) design framework. Centered on home human-robot interaction and privacy governance, it integrates safety, security protection, and privacy requirements into a front-end interaction experience that users can perceive, understand, authorize, and control. Among them, the safety dimension focuses on the robot's operational safety and usage safety in physical space; the security protection dimension focuses on identity recognition, capability invocation, access control, and authorization mechanisms; the privacy dimension focuses on privacy challenges brought by continuous perception, identity information, family data, spatial information, and personalized memory. In addition, the "White Paper" also focuses on issues such as multi-person relationships and authorization boundaries in the home, home space and contextual interaction, personal information and data permission governance, robot behavioral safety and special situations, attempting to establish a systematic connection from user needs and scenario problems to design principles and governance mechanisms, thereby providing reference for product practice, trustworthy experience building, and future industry standard exploration of consumer-grade embodied intelligence.

Gao Quanzhong stated that there are no shortcuts in the personal robot industry, and short-term popularity does not equal long-term deployment. The industry needs to adhere to long-termism, not only overcoming engineering challenges at the levels of the body, algorithms, and data, but also simultaneously improving safety and privacy-related governance systems, so that technology can step out of laboratories and factories and become reliable, warm intelligent companions in life.