Investment Rating - The report assigns an "Overweight" rating for the industry, indicating a projected performance that exceeds the Shanghai and Shenzhen 300 Index by more than 15% [11]. Core Insights - In 2026, NVIDIA's advancements in embodied intelligence have transitioned from technical exploration to engineering implementation and ecosystem development, focusing on software models, simulation infrastructure, hardware deployment, and collaborative ecosystems [2][4]. - The humanoid robot industry is entering the "engineering implementation" phase, with significant investment opportunities identified in both beta (software and embodied models) and alpha (hardware) categories [4]. Summary by Relevant Sections Investment Recommendations - The report suggests focusing on: 1. Beta opportunities in embodied models and software, recommending companies such as Hangcha Group, UBTECH, and Woan Robotics. 2. Alpha opportunities in hardware, including: - Force/Torque sensors: Anpeilong - Encoders: Yapu Co., Ltd., Shuo Beid - Visual sensors: Aoptical, Orbbec - IMU: Joyson Electronics, Huayi Technology - Power devices: Innodisk - MCU and hollow cup: Fengcai Technology - Dexterous hands: Zhaowei Electric - Linear joints: Hengli Hydraulic, Zhejiang Rongtai, Zhenyu Technology - Rotary joints: Lide Harmonic, Shuanghuan Transmission, Minshi Group, Keda Li [4][5]. NVIDIA's Ecosystem Development - NVIDIA is building a "CUDA ecosystem" for robotics, utilizing Cosmos (data generation), Isaac (simulation training), and GROOT (robotic foundational models) to attract developers and accelerate commercialization [4]. - The GROOT N1.7 model has been released, enhancing robotic operational capabilities and introducing reasoning modules, with the upcoming GROOT N2 aimed at achieving world-model-level physical understanding [4]. Robotics Training and Infrastructure - The report highlights the release of Isaac Lab 3.0, which features a new Newton physics engine and enhanced support for complex dexterous operation scenarios [4]. - The DGX™-AI training server platform integrates multiple high-end GPUs and is optimized for AI training, capable of forming GPU clusters to enhance training scale [4].