这个2000人的具身社区，帮助大家解决了各种各样的难题！

Core Insights - The article emphasizes the value of a community that can provide solutions to problems in the field of embodied intelligence, highlighting the establishment of a comprehensive technical exchange platform for industry and academic discussions [3][17]. Group 1: Community and Resources - The Embodied Intelligence Knowledge Planet has created a closed loop in various fields such as industry, academia, job seeking, and Q&A exchanges, providing timely solutions and job opportunities [3][5]. - The community has compiled over 30 technical routes, significantly reducing search time for benchmarks and learning paths [5]. - Members can access a wealth of resources, including nearly 40 open-source projects and 60 datasets related to embodied intelligence [17]. Group 2: Educational Support - The community offers structured learning paths for beginners, including technical stacks and routes tailored for newcomers [12]. - For those already engaged in research, valuable industry frameworks and project proposals are provided to enhance their work [14]. - The platform hosts roundtable forums and live broadcasts to share insights on the latest developments in the embodied intelligence industry [5][18]. Group 3: Job Opportunities - The community has established a job referral mechanism with multiple embodied companies, facilitating direct connections between job seekers and potential employers [11]. - Members are encouraged to share their resumes for timely job placements in desired companies [11]. Group 4: Research and Development - The community has summarized various research directions and notable laboratories in the field of embodied intelligence, aiding members in their academic pursuits [21][22]. - A collection of industry reports related to large models and humanoid robots is available, providing insights into industry trends and applications [24]. Group 5: Technical Insights - The community has compiled extensive information on various technical aspects, including simulation platforms, data collection methods, and reinforcement learning applications [39][41][45]. - Specific learning routes for embodied intelligence perception, interaction, and navigation have been detailed, covering a wide range of tasks and methodologies [45][49].