Core Insights - The Vision-Language-Action (VLA) model represents a new paradigm in embodied intelligence, enabling robots to generate executable actions from language instructions and visual signals, thus enhancing their adaptability to complex environments [1][3]. - VLA breaks the traditional single-task limitations, allowing robots to make autonomous decisions in diverse scenarios, which is applicable in manufacturing, logistics, and home services [3]. - The VLA model has become a research hotspot, driving collaboration between academia and industry, with various cutting-edge projects like pi0, RT-2, OpenVLA, QUAR-VLA, and HumanVLA emerging [3][5]. Industry Development - The embodied intelligence sector is experiencing robust growth, with teams like Unitree, Zhiyuan, Xinghaitu, Galaxy General, and Zhujidongli transitioning from laboratories to commercialization [5]. - Major tech companies such as Huawei, JD.com, and Tencent are actively investing in this field, alongside international firms like Tesla and Figure AI [5]. Educational Initiatives - A specialized VLA research guidance course has been launched to assist individuals in quickly entering or transitioning within the VLA research domain, addressing the complexity of the related systems and frameworks [5]. - The course focuses on the perception-cognition-action loop, providing a comprehensive understanding of VLA's theoretical foundations and practical applications [7][8]. Technical Evolution - The course will analyze the technical evolution of the VLA paradigm, from early grasp pose detection to recent advancements like Diffusion Policy and multimodal foundational models [8]. - It will also explore core challenges in embodied intelligence, such as cross-domain generalization and long-term planning, while integrating large language models with robotic control systems [9]. Course Structure and Outcomes - The curriculum emphasizes a full-chain training approach, covering theoretical foundations, simulation environment setup, experimental design, and paper writing [15]. - Students will gain skills in academic research methodologies, including literature review, innovation extraction, and the ability to identify valuable research directions [15]. - The course aims to help students develop their research ideas, conduct preliminary experiments, and produce high-quality academic papers [15].