/PRZWT/On January 28th, Chenjing Technology officially launched the new embodied intelligence brand "LooperRobotics" and the full-stack technology product portfolio in Hangzhou, Zhejiang Province.
This release includes the Insight fully autonomous space intelligent camera, the TinyNav high-performance navigation algorithm library, and the RoboSpatial spatial editing toolchain. It marks a significant breakthrough in the key perception hardware, underlying algorithms, and application toolchain of embodied intelligence, providing a solid foundation for promoting robots to become a physical task infrastructure after automobiles and mobile phones.
1. Facing the complex physical world, define the foundation of "spatial intelligence" for robots
Currently, artificial intelligence is accelerating its progress from the digital world to the physical world. Embodied intelligence, as a typical representative of physical AI, serves as a bridge connecting digital and physical entities and is a key leverage for enabling the transformation and upgrading of the manufacturing industry. However, how to enable robots to possess high-precision perception and decision-making capabilities in complex and variable real physical environments, and achieve large-scale implementation from the laboratory to the workshop and home, remains a common challenge faced by the industry.
The "LooperRobotics" brand system released by Chenjing Technology aims to create a standardized perception base for driving general robots through independent innovation of software and hardware integration.
The Insight fully autonomous spatial intelligent camera launched at the press conference is a major highlight of this release.
As the core data entry point of embodied intelligence, the Insight fully autonomous spatial intelligent camera has redefined the perception boundaries of the industry through four-dimensional technological breakthroughs:
One is the closed-loop within the terminal computing power: An internal 10TOPS NPU computing capacity is provided, enabling the integration of SLAM algorithm and AI dual-range distance measurement at the camera end, ensuring the data processing efficiency at the perception source.
The second is the all-encompassing longitudinal field of view: By using a 188° ultra-wide-angle lens and a longitudinal enhancement layout, the perception blind spots are eliminated, and a panoramic coverage of information is achieved.
Thirdly, millisecond-level real-time response: Relying on the edge computing architecture, AI inference operates at millisecond speed, endowing machines with the rapid obstacle avoidance response similar to that of living organisms.
Fourth, robust in industrial environment: Equipped with 24g shock resistance and strong light suppression capabilities, ensuring the output accuracy of the robot's position and posture in extreme conditions such as bumpy roads and complex lighting.
This high-performance and low-power integrated solution provides a standardized source of perception for embodied intelligence.
As the "navigation soul" of LooperRobotics, TinyNav endows the robot with robust local perception and autonomous positioning capabilities, supporting safe exploration in unknown environments, real-time mapping, and long-term memory management, ensuring the continuous and stable operation of the robot in an unsupervised condition. The core of its technology lies in a generative world model specifically designed for robot training. With only a small amount of real scene data, it can generate an unlimited amount of high-fidelity synthetic data, fundamentally enhancing the generalization ability and robustness of the robot's decision-making system.
The RoboSpatial spatial perception software platform boasts extremely strong compatibility between software and hardware. Through modular design, it creates a ready-to-use integrated solution of software and hardware, enabling robot manufacturers to bypass the complex underlying development stages and achieve rapid empowerment of core capabilities. This innovation fundamentally addresses the industry challenges of high development barriers, long development cycles, and difficult adaptation in traditional robot development. Moreover, by building a robot-specific "spatial knowledge base", it realizes the structured storage and intelligent invocation of environmental information.
Two, the "space-as-a-service" innovative model demonstrates its extensive application potential.
Hu Wen, the co-founder and CEO of Chenjing Technology, stated that within the framework of physical AI, intelligent agents need to possess an extremely high-dimensional reconfiguration capability for the physical world. Chenjing Technology precisely addressed this requirement by constructing a technical loop centered around the Insight camera as the perception entry point, the RoboSpatial platform as the spatial foundation, and the TinyNav engine as the cognitive core. They proposed the new concept of "Spatial AI as Service". This matrix, through the coupling of software and hardware, transforms fragmented physical signals into structured spatial intelligence, endowing robots with the "spatial intuition" to understand physical logic.
If cars are the mobile infrastructure and mobile phones are the information infrastructure, then robots are expected to become the "physical task infrastructure" of the future. Chenjing Technology's integrated "spatial intuition" solution and the innovative "space as a service" model will provide standardized infrastructure support for the upstream and downstream of the industry chain.
At the press conference, Chenjing Technology showcased the deep cooperation achievements with leading enterprises in the industry such as Yushu Technology and Diwa Robotics. After being equipped with the full-stack spatial intelligence solution, humanoid robots and quadruped robots demonstrated outstanding autonomous navigation and interaction capabilities, verifying the extensive application potential of this technology in industrial inspection, logistics distribution, and public services.
The release of this full-stack solution not only fills the technological gap in the relevant field, but also demonstrates the proactive actions of Chinese technology enterprises in promoting collaborative innovation within the industrial chain.
Chenjing Technology's newly launched matrix product has addressed the three core pain points of "being visible, being accessible, and being usable", and is expected to facilitate the accelerated integration of embodied intelligence into the real economy, becoming an important force driving the digital and intelligent transformation of the economy and society.
