具身智能之心·2025-10-31 00:04Core Insights - The article discusses the development and research opportunities in the field of embodied intelligence, particularly focusing on visual-language-action (VLA) models and their applications in robotics and artificial intelligence [12][14]. Group 1: Job Responsibilities - Responsibilities include the development of VLA model algorithms, which encompasses model architecture design, data utilization, and training methods [3]. - The role involves collecting and processing video or robotic operation data, as well as deploying and testing VLA models in both simulation environments and real robots [6]. - Additional tasks include developing algorithms for virtual-real simulation data synthesis and enhancing video or robotic data through various techniques [6][11]. Group 2: Qualifications - Candidates are required to have at least a bachelor's degree in artificial intelligence, computer science, automation, or machine learning [6][11]. - Familiarity with VLA model training and testing, as well as proficiency in programming languages such as Python and C++, is essential [6][11]. - Experience in deploying VLA models on real machines and knowledge of mainstream robotic simulators is preferred [6][11]. Group 3: Community and Resources - The article highlights the establishment of a community focused on embodied intelligence, which serves as a platform for sharing knowledge, datasets, and simulation tools related to VLA and other relevant technologies [12][14]. - The community offers access to over 30 learning paths, 40 open-source projects, and nearly 60 datasets related to embodied intelligence [12].