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从麻将博弈到智能配送!灵初智能WAIC 2025展示具身智能长程、灵巧多场景应用
Tai Mei Ti A P P· 2025-07-29 14:03
Core Insights - Lingchu Intelligent showcased its advancements in embodied intelligence at WAIC 2025, demonstrating breakthroughs in long-range and dexterous capabilities through its self-developed VLA model and reinforcement learning algorithms [2][18]. Group 1: Demonstrations of Embodied Intelligence - The Mahjong robot attracted significant attention by engaging in over 30 minutes of continuous gameplay with human participants, showcasing its ability to perform complex operations with millimeter-level precision and dynamic decision-making [4][6]. - In a retail packaging demonstration, the robot autonomously executed a task based on natural language instructions, analyzing item arrangement and completing actions like scanning and bagging without manual intervention [6][8]. - The delivery robot addressed the "last mile" challenge by accurately identifying and handling various flexible delivery items, autonomously navigating to target locations while avoiding obstacles, and managing loads of up to 3 kg [8][12]. Group 2: Technological Innovations - The 21-degree-of-freedom dexterous hand demonstrated exceptional operational dexterity and efficiency, supporting high-precision control and tactile feedback, thus meeting the dual demands of fine operations and dynamic adaptability in industrial applications [13][15]. - The introduction of an exoskeleton remote operation solution allowed users to control robotic joints with ease, creating a high-quality data collection loop to support reinforcement learning training [15][16]. Group 3: Industry Positioning - Lingchu Intelligent has established a leading position in the field of embodied intelligence, having surpassed the L2 dexterous operation stage and positioned itself at the forefront of L3 long-range dexterous operations [18]. - The company has developed a comprehensive technological ecosystem consisting of a data pyramid integrating simulation and real data, a VLA model based on the CoAT framework, and a robust hardware system, enabling scalable solutions for manufacturing, retail, and logistics sectors [18][19].
灵初智能WAIC 2025展示具身智能长程、灵巧多场景应用:从麻将博弈到智能配送
IPO早知道· 2025-07-27 10:59
Core Viewpoint - Lingchu Intelligent has made significant advancements in the field of embodied intelligence, showcasing its comprehensive technology chain from data, model algorithms, hardware to application scenarios at WAIC 2025 [2][13]. Group 1: Product Demonstrations - The Mahjong Robot demonstrated the ability to engage in a 30-minute continuous game with human players, showcasing its strategic thinking and decision-making capabilities in a complex environment [2][3]. - The Autonomous Packing Task showcased the robot's ability to understand natural language commands and autonomously execute tasks such as analyzing item arrangement and completing packaging without manual intervention [4]. - The Delivery Robot addressed the "last mile" delivery challenge by accurately identifying and handling various delivery items, demonstrating its flexibility and automation capabilities [6][7]. Group 2: Core Technologies - The 21-degree-of-freedom dexterous hand was highlighted for its exceptional operational dexterity and efficiency, capable of high-precision control and tactile feedback, meeting industrial demands for fine operations [9]. - The Exoskeleton Remote Operation solution was introduced, allowing users to control robotic hands with high precision, contributing to a high-quality data collection platform for reinforcement learning [11]. Group 3: Industry Positioning - Lingchu Intelligent has established a leading position in the L3 long-range dexterous operation sector, marking a significant transition from simple action execution to cognitive decision-making and complex task handling [13]. - The company has built a robust technology ecosystem consisting of four pillars: a data pyramid combining simulation and real data, the VLA model based on the CoAT framework, a cost-effective hardware system, and comprehensive validation across various scenarios [13].