最近具身界的一些进展......

Core Insights - The article discusses the recent developments in the embodiment community, focusing on investment, production, product design, model generalization, and deployment in the robotics industry [1]. Financing - In the second half of the year, apart from a few star companies, the financing amounts for core component companies have increased, and the number of companies has also grown [2]. Production - Several companies have begun pilot projects, with many startups seeking financing backed by orders. Leading humanoid robot companies are exploring the deployment of industrial-grade products [2]. Product Design - The design of core robotic arms is gradually converging, while innovations in structure and size continue in mobile operations and humanoid robots. Companies are also focused on reducing costs, with supply chain management capabilities significantly influencing future competitiveness. Leading embodiment companies are actively investing in component suppliers, and multi-modal robots are slowly appearing in various scenarios [2]. Model Generalization - The optimization approach based on Reinforcement Learning (RL) is enhancing the generalization capabilities of models. Related toolkits are becoming more refined, making real machine deployment increasingly convenient [3]. Deployment - The launch of the S600 by Digua Robotics supports edge-side deployment. Thor is beginning to be applied in humanoid robots and mobile operations, with computing power exceeding 2000T becoming a reference configuration [4]. Community Development - The community is actively planning research reports and welcomes newcomers interested in the embodiment field. Over the past year, the community has completed various segments, including technical route sharing, live broadcasts, Q&A, job opportunities, and competitions, aiming to cultivate more talented individuals in the industry [6]. Educational Resources - The community offers a variety of live roundtable forums and broadcasts covering topics from embodiment, data, to algorithms, gradually sharing insights into the industry and unresolved issues [8]. - For beginners, a comprehensive technical stack and learning routes have been organized to facilitate entry into the field [10]. - For those already engaged in related research, valuable industry systems and project proposals are provided [14]. Job Opportunities - The community has established a job referral mechanism with multiple embodiment companies, allowing members to submit resumes directly to desired companies [16].