VLA学习“成本太高”的问题，正在被解决......

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 troubleshooting and overcoming obstacles in data collection, model training, and deployment, particularly with complex models like π0 and π0.5 [5]. Group 2: Course Offerings - The "Embodied Intelligence Heart" platform has developed a course that replicates methods such as ACT, GR00T, π0, and π0.5, aimed at helping individuals who lack access to expensive equipment and do not know how to get started [8]. - The course includes practical tutorials and is designed to assist students in effectively learning VLA techniques, even if they have access to real machines but are unsure how to utilize them [9]. - The curriculum covers a wide range of topics, including hardware for robotic arms, data collection, VLA algorithms, evaluation, simulation, deployment of mainstream VLA models, and various real machine experiments [14]. Group 3: Course Details and Target Audience - The course is the most comprehensive offering from "Embodied Intelligence Heart," combining both software and hardware aspects to facilitate effective learning [15]. - It is targeted at individuals seeking practical experience and projects in the VLA field, including those transitioning from traditional computer vision, robotics, or autonomous driving [25]. - Participants will receive a SO-100 robotic arm as part of the course, which includes both teaching and execution arms, enhancing hands-on learning [18].