具身智能的黄埔军校，都有哪些东西？

Core Insights - The article discusses the development and research in the field of embodied intelligence, highlighting key modules such as industry content, embodiment forms, algorithms, and deployment solutions [1] Industry Overview - Companies engaged in the development of embodied brains and embodiments have been identified, along with active laboratories in the field [1] - A variety of industry research reports have been provided to assess the development and cycles of embodied intelligence [1] Product Recommendations - Recommended products for research include the SO-100 series, Openarm series, and XLerobot series, with SO-100 capable of running various VA and VLA algorithms [2][4] - Openarm is a dual-arm task framework suitable for basic tasks like folding clothes and pick-and-place operations, though it lacks mobility [4] - XLerobot has limited mobility and is suitable for entry-level research and personal development tasks [6] Algorithm Development - The article outlines several algorithmic directions, including VLA (training methods, reinforcement learning, lightweight deployment) and VLN (time language, target navigation) [8] - Control strategies such as reinforcement learning, Model Predictive Control (MPC), and simulation techniques are also discussed [8] Deployment Strategies - Most deployments are currently focused on cloud-based inference, with some edge solutions based on the Sol framework being implemented [8] - Companies like Xiaopeng have completed deployments of VLM/VLA using self-developed chips [8] Community Engagement - The community has organized continuous live sharing sessions and roundtable forums to discuss various aspects of the embodied intelligence industry [10][9] - A comprehensive technical roadmap has been created for beginners, including various learning paths and resources [16] Job Opportunities and Networking - The community has established a job referral mechanism with several embodied intelligence companies, facilitating connections between job seekers and employers [20] - Members can engage with industry experts and receive guidance on career-related questions [20] Resource Compilation - The community has compiled a wealth of resources, including over 40 open-source projects, 60 datasets related to embodied intelligence, and various technical learning routes [22] - A summary of notable laboratories and companies in the field has been provided for reference in academic and professional pursuits [24][26]