重构具身智能感知范式，宸境科技推出视觉「空间智能」新品

Core Insights - The year 2026 is anticipated to be a watershed moment for embodied intelligence, with humanoid robots gaining attention but facing challenges in real-world applications [1] - The bottleneck in the industry is not the robots' ability to perform tasks but their reliability in unpredictable environments [1][2] - The focus is shifting from traditional methods to a vision-based approach for embodied intelligence, aiming to create a more robust and adaptable system [2][5] Industry Challenges - The current industry anxiety stems from the inability of robots to transition from demonstration to practical use in factories and homes [1] - The long-tail reliability in real-world scenarios poses significant challenges, as environmental factors can disrupt robotic operations [1][3] Technological Innovations - Chenjing Technology is pioneering a vision-based approach, moving away from expensive lidar systems to create a more cost-effective and scalable solution [2][5] - The concept of "spatial intelligence" is introduced, emphasizing the need for robots to have a precise understanding of their physical environment [3][4] - The upcoming product from Chenjing Technology aims to enable robots to build internal world models that are computable, predictable, and executable [4] Product Development - The new product lineup includes the Insight autonomous spatial camera, which utilizes advanced neural network computing and a high-performance VSLAM engine for enhanced perception [8] - The TinyNav high-performance navigation algorithm library is designed to provide robust positioning and mapping capabilities even in low-cost embedded systems [8] - The RoboSpatial toolchain allows developers to easily manipulate 3D spatial intelligence capabilities, streamlining the deployment of embodied intelligence applications [9] Strategic Partnerships - Chenjing Technology has partnered with industry leader Yushu Technology to enhance the robustness of its visual perception solutions in complex environments [7]