低成本机械臂一直复现不出pi0，该怎么办？

Core Viewpoint - The article discusses the challenges faced by beginners in the field of VLA (Vision-Language Alignment) tasks due to high costs and the complexity of data collection and model training, while introducing a comprehensive course aimed at addressing these issues and providing practical skills for aspiring professionals in the field [3][5][9]. Group 1: Challenges in VLA Tasks - Many beginners express frustration over the high costs associated with mechanical arms and sensors, which can exceed 15,000 yuan, making it difficult for self-learners or those without equipment to engage in VLA tasks [3]. - Open-source low-cost robotic arms are available, but many beginners struggle to achieve effective results due to difficulties in data collection and model training [4]. - A significant amount of time is wasted by beginners on common pitfalls when trying to integrate data, VLA models, and training optimizations [5]. Group 2: Course Offerings - The "Embodied Intelligence Heart" platform has replicated various VLA methods such as ACT, GR00T, π0, and π0.5 to help users overcome the challenges of lacking physical devices and not knowing how to get started [8]. - A practical course titled "VLA Small Class for Practical and Job-Seeking" has been developed in collaboration with industry experts to assist learners in effectively utilizing VLA technologies [9]. - The course covers a wide range of topics including robotic arm hardware, data collection, VLA algorithms, evaluation, simulation, deployment of mainstream VLA models, and real-world experiments [14]. Group 3: Course Details and Requirements - The course is designed for individuals seeking practical experience and projects in the VLA field, including students at various academic levels and professionals transitioning from traditional fields [25]. - Participants will receive a SO-100 robotic arm as part of the course, which includes both teaching and execution arms [18]. - The course aims to equip learners with skills equivalent to 1-2 years of experience as algorithm engineers upon completion [27].