轻量化多模态具身导航模组
Search documents
中科洵瞳推出视觉语言融合导航系统,已实现数百台出货
创业邦· 2025-07-17 03:09
Core Viewpoint - The article discusses how Zhongke Xuntong aims to enable robots to understand the world like humans through visual perception, reasoning, and decision-making, addressing the limitations of traditional robots in dynamic environments [2][3]. Group 1: Challenges in Traditional Robotics - Traditional robots struggle in unstructured environments, failing to navigate effectively due to reliance on pre-set maps and remote control instructions, leading to inefficiencies and high maintenance costs [5][7]. - The fundamental issue lies in the "symbolic modeling" approach of traditional navigation, which simplifies the world into geometric coordinates while neglecting the value of multimodal information [7]. Group 2: Technological Innovations by Zhongke Xuntong - Zhongke Xuntong has developed a world navigation model that integrates visual perception and spatial reasoning, allowing robots to "see and think" in dynamic environments [7][9]. - The company has created a multimodal data set using self-developed data collection devices, enabling the training of a visual-language fusion navigation model [9][10]. Group 3: Breakthroughs in Navigation Technology - The technology has achieved three significant breakthroughs: 1. Transitioning from "pixel perception" to "semantic understanding," allowing robots to interpret environmental semantics, such as recognizing that a sofa is a navigable object [10]. 2. Evolving from "local positioning" to "global cognition," enabling robots to achieve centimeter-level optimal positioning accuracy in both indoor and outdoor settings [12]. 3. Advancing from "instruction execution" to "intent reasoning," allowing robots to autonomously plan paths based on real-time semantic information [13]. Group 4: Practical Applications and Market Impact - Zhongke Xuntong's solutions have enabled robots to navigate without pre-built maps, learning and adjusting paths in unknown environments, which is particularly beneficial for dynamic scenarios like delivery and emergency inspections [15][17]. - The company has successfully delivered hundreds of products, with its core technology serving major enterprises such as Huawei, Xiaomi, Baidu, Nokia, and Horizon [14][17].