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跨维智能发布第二代人形机器人DexForce W1 Pro:为落地真实场景而生
IPO早知道· 2025-07-28 03:47
Core Viewpoint - The launch of DexForce W1 Pro by Kuawei Intelligence represents a significant advancement in humanoid robotics, combining hardware performance and software efficiency to expand the boundaries of embodied intelligence [2][10]. Group 1: Product Features - DexForce W1 Pro integrates a modular multi-layer development interface from X-Wiz and leverages the EmbodiChain platform for enhanced data augmentation and generation capabilities, enabling high-precision and stable robotic tasks in real-world scenarios [3]. - Key technical features include high-precision pure visual 3D perception with a self-developed dual-camera sensor and a general perception model, sub-millimeter precision operations with harmonic joints and omnidirectional motion chassis, and a new paradigm of embodied intelligence through Engine-driven Sim2Real VLA [3][5]. Group 2: Application Scenarios - The advanced capabilities of DexForce W1 Pro are applicable in various scenarios, including: - Research and education, providing a high-precision platform for VLA model training and robotic skill learning [5]. - Home assistance, executing tasks like organizing, delivering items, and meal preparation [5]. - Commercial services, enhancing customer experience in exhibitions, hotels, and retail environments [5]. - Intelligent manufacturing, efficiently handling complex tasks such as flexible assembly and material sorting on production lines [5]. Group 3: Market Position and Impact - Kuawei Intelligence has achieved widespread commercial deployment across over 50 industries, including automotive parts, new energy, 3C electronics, aerospace, logistics, home appliances, chemicals, healthcare, and education, serving notable clients in these sectors [7]. - The introduction of the open-source EmbodiChain platform addresses the challenge of data scarcity in training embodied intelligence models, transforming expensive and inefficient data collection into a low-cost, scalable, and extensible data pipeline for robotic skills [9][10]. Group 4: Future Directions - Kuawei Intelligence aims to focus on three main areas for continuous iteration: enhancing the perception robustness of W1 in various environments, improving the efficiency of online data generation and training models on the EmbodiChain platform, and expanding the skills and application scenarios of W1 [10].