但还有相当多的同学卡住了，比如算力的问题，数据采集的问题，还有模型优化、项目实战的问题等。关于算 力，前面分享过很多轻量化的方法，也能做出不错的性能，甚至SOTA，这能够适配一些算力不足的同学。 近期开了一个小范围的线上会，和大家唠了一会儿近期的状态。一些同学能抓到关键的部分，跟着社区里面的 路线进步较快。即使用低成本的硬件方案，也能做出不错的效果，有的同学甚至已经把act和pi0部署上去了。 数据采集部分，建议大家先从基础的遥操作尝试，重点关注数据的质量，噪声数据，可能导致模型训不出效 果，特别是大多数数据都是噪声数据。数据量不够，可以尝试real2sim2real系列方法。 模型优化部分，对一些使用机械臂的同学，可以尝试RL+VLA方案，但人形和自由度多的本体，建议不要轻易 入坑，效果难做出。关于一些好的开源项目，已经汇总到社区内部，大家可以照着教程复现。 以上为我们的具身社区： 具身智能之心知识星球 的分享，也欢迎更多需要入门进阶的同学加入我们的社区。 近一年的搭建，社区内已经完成了技术路线分享、直播、问答、求职、赛事等多个版块的分享。实现了产业、 学术、求职、问答交流等多个领域的闭环。社区致力于为行业 ...

老学员续费优惠也来了！ 都在研究具身，但相当一部分同学卡在了这些地方....... 昨晚开了一个小范围的线上会，和大家唠了一会儿近期的状态。一些同学能抓到关键的部分，跟着社区里 面的路线进步较快。即使用低成本的硬件方案，也能做出不错的效果，有的同学甚至已经把act和pi0部署上 去了。 但还有相当多的同学卡住了，比如算力的问题，数据采集的问题，还有模型优化、项目实战的问题等。关 于算力，前面分享过很多轻量化的方法，也能做出不错的性能，甚至SOTA，这能够适配一些算力不足的同 学。 数据采集部分，建议大家先从基础的遥操作尝试，重点关注数据的质量，噪声数据，可能导致模型训不出 效果，特别是大多数数据都是噪声数据。数据量不够，可以尝试real2sim2real系列方法。 模型优化部分，对一些使用机械臂的同学，可以尝试RL+VLA方案，但人形和自由度多的本体，建议不要 轻易入坑，效果难做出。关于一些好的开源项目，已经汇总到社区内部，大家可以照着教程复现。 以上为我们的具身社区： 具身智能之心知识星球 的分享，也欢迎更多需要入门进阶的同学加入我们的社 区。近一年的搭建，社区内已经完成了技术路线分享、直播、问答、求职、赛 ...

Core Insights - The article emphasizes the importance of creating a comprehensive community for embodied intelligence and robotics, catering to both beginners and advanced learners in the field [1][3][14]. Group 1: Community Development - The community aims to provide a platform for knowledge sharing, job referrals, and academic guidance, addressing the high trial-and-error costs faced by newcomers [1][6]. - It has established a closed-loop system across various domains, including industry, academia, and job opportunities, facilitating real-time problem-solving and research updates [3][20]. - The community has invited industry experts to engage in discussions and answer questions, enhancing the learning experience [4][12]. Group 2: Educational Resources - A compilation of over 30 technical routes has been created to assist users in finding benchmarks, reviews, and learning pathways, significantly reducing search time [4][10]. - The community offers a variety of learning paths for beginners, including technical stacks and routes tailored for newcomers [8][15]. - For those already engaged in research, valuable industry frameworks and project proposals are provided to further their knowledge [10][20]. Group 3: Job Opportunities - The community has established a job referral mechanism with multiple leading companies in the embodied intelligence sector, ensuring timely resume submissions to desired employers [6][7]. - Job postings and recruitment opportunities from top companies in the field are shared regularly, helping members navigate their career paths [7][20]. Group 4: Research and Development - The community has compiled a list of over 40 open-source projects and nearly 60 datasets related to embodied intelligence, aiding researchers in their work [14][31][37]. - Various research directions and notable laboratories in the field have been summarized for members considering further academic pursuits [19][22]. - The community provides insights into the latest advancements in embodied intelligence, including industrial applications and research reports [24][20].

Group 1 - The number of companies in the embodied intelligence sector in China has approached 200, indicating a high level of competition and potential market saturation [1] - Companies are adopting different strategies, with some focusing on integrating applications while others prioritize core research and development, which may help them survive market challenges [1] - The community created around embodied intelligence aims to provide a platform for knowledge sharing, job referrals, and academic guidance, addressing the high trial-and-error costs for newcomers [2][4] Group 2 - The community has established a closed loop across various fields, including industry, academia, and job exchanges, providing solutions to problems and connecting job opportunities [4] - A comprehensive resource of over 30 technical routes has been compiled, aiding users in finding benchmarks and learning pathways efficiently [4] - The community invites industry experts to engage in discussions and provide insights on the latest developments in the embodied intelligence sector [4][12] Group 3 - The community offers a variety of learning paths for beginners and advanced users, including reinforcement learning and multi-modal large model understanding [12][13] - Members have access to job referral mechanisms, ensuring timely connections with desired companies [12][20] - The community has compiled a wealth of resources, including open-source projects, datasets, and technical learning routes, to facilitate knowledge acquisition and project development [12][29][35]

Core Viewpoint - The article discusses the growing number of companies in the embodied intelligence sector in China, highlighting the potential for market saturation and competition among nearly 200 companies, which may lead to a "cutthroat" environment [1]. Group 1: Industry Overview - The number of companies involved in embodied intelligence, including robotics and related research, has approached 200, indicating a crowded market with high product and business similarity [1]. - Companies are adopting different strategies, with some focusing on integrating applications with their core technologies while others prioritize foundational research, leaving application validation to developers [1]. - The article emphasizes the importance of having a rich technical stack to survive in the industry, as only those capable of practical implementation will remain viable in the long term [1]. Group 2: Community and Support - The "Embodied Intelligence Heart Knowledge Planet" aims to create a large community for both beginners and advanced learners in the field, providing job referrals, academic guidance, and problem-solving support [3]. - The community has established a closed-loop system across various domains, including industry, academia, and job exchanges, facilitating knowledge sharing and collaboration [5]. - The community offers access to over 30 technical routes, numerous open-source projects, and connections with industry leaders for mentorship and advice [5][15]. Group 3: Educational Resources - The community provides a comprehensive collection of learning paths and resources for newcomers, including technical stacks and project proposals for those already engaged in research [9][11]. - Various forums and live discussions are organized to share insights on the latest developments in the embodied intelligence industry [7]. - The community has compiled a wealth of resources, including datasets, research papers, and technical documentation, to support learning and development in the field [20][26][30].

Core Viewpoint - The article highlights the increasing number of companies in the embodied intelligence sector in China, nearing 200, indicating a potential for market saturation and competition [1]. Group 1: Industry Landscape - The number of companies in the embodied intelligence field, including robotics and internet companies, is approaching 200, leading to high similarity in business and product offerings [1]. - Companies are adopting different strategies, with some focusing on integrating applications while others prioritize core research and development, aiming for long-term sustainability [1]. Group 2: Community and Support - The "Embodied Intelligence Knowledge Planet" community aims to create a large platform for both beginners and advanced learners in the field, providing job referrals and academic guidance [3]. - The community has established a closed loop across various domains, including industry, academia, and job exchanges, facilitating problem-solving and knowledge sharing [5]. Group 3: Educational Resources - The community has compiled over 30 technical routes for newcomers, significantly reducing the time needed for research and learning [6]. - Various resources, including open-source projects, datasets, and technical learning paths, are available to assist individuals at different stages of their careers [15][32]. Group 4: Networking and Collaboration - The community connects members with industry leaders and provides opportunities for collaboration through forums and live discussions on various topics related to embodied intelligence [6][21]. - Members can freely ask questions and receive guidance on career choices and research directions, fostering a supportive environment for professional growth [75].

Group 1 - The article emphasizes the importance of community engagement and the development of hardware solutions to address user complaints about expensive and inefficient products [2][3] - The community aims to create a comprehensive platform for knowledge sharing in the field of embodied intelligence, including job referrals and academic guidance [5][12] - The community has established connections with numerous universities and companies in the embodied intelligence sector, facilitating collaboration and resource sharing [13][19] Group 2 - The community has compiled over 30 technical routes and invited industry experts to provide insights and answer questions related to embodied intelligence [6][10] - Various forums and live sessions are organized to discuss advancements in the field, covering topics such as robot simulation, data collection, and decision-making frameworks [6][17] - The community offers a wealth of resources, including open-source projects, datasets, and educational materials to support both beginners and advanced researchers [29][35][39] Group 3 - The community provides a structured learning path for newcomers, including technical stacks and routes for different areas of embodied intelligence [8][14] - For those already engaged in research, valuable industry frameworks and project proposals are available to enhance their work [10][12] - The community fosters a collaborative environment where members can freely ask questions and receive guidance on career and research direction [73][80]

Core Viewpoint - The article emphasizes the development and enhancement of a community focused on embodied intelligence, aiming to provide resources, support, and networking opportunities for individuals interested in this field. Group 1: Community Development - The community is working on improving hardware solutions and addressing user feedback regarding product quality and pricing [2] - There is an ongoing effort to streamline community resources and reduce gaps in information, with plans to present improved content after the holiday [2] - The community has established a mechanism for job referrals, connecting members with potential employers in the embodied intelligence sector [5][13] Group 2: Educational Resources - The community has compiled over 30 technical routes for members, facilitating easier access to benchmarks, reviews, and learning paths [6] - Various forums and live sessions are organized to discuss advancements in the embodied intelligence industry, covering topics such as robot simulation and data collection [6] - A comprehensive list of open-source projects and datasets related to embodied intelligence is available, aiding members in their research and development efforts [29][35] Group 3: Networking and Collaboration - The community includes members from prestigious universities and leading companies in the field, fostering collaboration and knowledge sharing [13] - Members are encouraged to engage with industry leaders and peers to discuss job opportunities and academic advancements [17][80] - The community aims to cultivate future leaders in the industry by providing a platform for technical exchange and professional growth [12]

Core Viewpoint - The article emphasizes the ongoing efforts in the field of embodied intelligence, focusing on community building, hardware development, and job opportunities in the sector [3][4][12]. Group 1: Community Development - The community aims to create a comprehensive platform for technical exchange related to embodied intelligence, facilitating academic and engineering discussions [14]. - The community has established a closed loop in various fields, including industry, academia, job seeking, and Q&A exchanges, providing solutions to encountered problems [6]. - The community is actively working on improving its structure and content to better serve its members, with plans to present enhanced offerings after the holiday [3]. Group 2: Hardware and Product Development - There are ongoing efforts to address complaints regarding the high cost and usability of hardware, with plans to introduce better solutions soon [3]. - The community is testing and developing embodied products, aiming to provide users with effective platforms for their needs [3]. Group 3: Job Opportunities and Academic Guidance - The community has received numerous inquiries from universities regarding recruitment in the field of embodied intelligence, particularly for research assistants, PhD candidates, and postdoctoral positions [3]. - Members are encouraged to prepare for upcoming job opportunities and academic advancements, with the community offering resume submission for internal referrals [3][20]. Group 4: Educational Resources - The community has compiled over 30 technical routes for newcomers, significantly reducing the time needed for research and learning [6][8]. - Various resources, including open-source projects, datasets, and learning paths, are available to assist members in their studies and career development [14][31][37]. Group 5: Industry Insights and Networking - The community has established connections with numerous leading companies in the field, facilitating job referrals and industry insights [20][22]. - Members can engage with industry leaders through forums and live discussions, gaining valuable knowledge about the latest developments in embodied intelligence [6][20].

Core Viewpoint - The article discusses whether individuals in the field of embodied intelligence should pursue a PhD or enter the job market, emphasizing the importance of foundational knowledge and the suitability for pioneering roles in this evolving industry [1][2]. Group 1: Foundations and Suitability - The article highlights the necessity of having a solid foundation in embodied intelligence, particularly in robotic-related areas, to be competitive in the job market [1]. - It stresses the importance of being suited for the role of a "pioneer" in research, especially in a field with many unresolved issues, and the need for strong problem-solving skills [1][2]. Group 2: Community and Resources - The "Embodied Intelligence Heart Knowledge Planet" community is introduced as a comprehensive platform for beginners, offering resources such as videos, articles, learning paths, and job exchange opportunities [2][4]. - The community aims to grow from nearly 2,000 members to 10,000 within two years, providing a space for technical sharing and collaboration [2]. Group 3: Practical Support and Networking - The community addresses practical questions related to equipment usage, data collection, and model deployment, enhancing the application of knowledge in projects [4]. - It has established a job referral mechanism with various leading companies in the embodied intelligence sector, facilitating connections between job seekers and employers [6][14]. Group 4: Educational Content and Learning Paths - The community has compiled over 30 technical routes for various aspects of embodied intelligence, significantly reducing the time needed for research [4][14]. - It offers a wealth of resources, including open-source projects, datasets, and technical learning routes, catering to both beginners and advanced researchers [14][19][28].