Core Viewpoint - The article emphasizes the shift in academic research from traditional perception and planning tasks in autonomous driving to the exploration of Vision-Language-Action (VLA) models, suggesting that there are still many opportunities for research in this area [1][2]. Group 1: VLA Research Topics - The VLA model represents a new paradigm in autonomous driving, integrating vision, language, and action to enhance decision-making capabilities [2][3]. - The evolution of autonomous driving technology can be categorized into three phases: traditional modular architecture, pure visual end-to-end systems, and the emergence of VLA models [2][3]. - VLA models aim to improve interpretability and reliability by allowing the model to explain its decisions in natural language, thus increasing transparency and trust [3]. Group 2: Course Objectives and Structure - The course aims to help participants systematically master key theoretical knowledge in VLA and develop practical skills in model design and implementation [6][7]. - Participants will engage in a 12-week online group research followed by 2 weeks of paper guidance, culminating in a 10-week maintenance period for their research papers [6]. - The course will provide insights into classic and cutting-edge papers, coding implementations, and writing methodologies, ultimately assisting participants in producing a research paper draft [6][12]. Group 3: Enrollment and Requirements - The course is limited to 6-8 participants per session, targeting individuals with a foundational understanding of deep learning and basic programming skills [5][9]. - Participants are expected to have access to high-performance computing resources, ideally with multiple high-end GPUs, to facilitate their research [13][14]. - A preliminary assessment will be conducted to tailor the course content to the individual needs of participants, ensuring a focused learning experience [15]. Group 4: Course Highlights and Outcomes - The course features a "2+1" teaching model, providing comprehensive support from experienced instructors and research mentors [15]. - Participants will gain a thorough understanding of the research process, writing techniques, and submission strategies, enhancing their academic and professional profiles [15][20]. - The expected outcomes include a research paper draft, project completion certificates, and potential recommendation letters based on performance [15].

Core Viewpoint - The humanoid robot industry is transitioning from a phase of technological hype to a focus on commercial viability, with market sentiment driven by actual order acquisition and application [2][3][11]. Group 1: Market Dynamics - The humanoid robot value chain experienced a strong surge in Q1 2025, with related Chinese stocks rising by 37% from January to March, significantly outperforming the MSCI China Index [4]. - Major tech companies like Huawei, Nvidia, Google, and Meta are increasing their investments in humanoid robots, boosting market confidence [4]. - Companies have set ambitious production targets, with Tesla's CEO Elon Musk aiming to produce 5,000-10,000 Optimus robots by 2025, and Figure AI planning to deliver 100,000 units within four years [4]. - However, from March to July, the market shifted focus to actual delivery results, leading to a 6% stock pullback due to some companies lowering their production targets [2][7]. Group 2: Commercialization Focus - The focus for the second half of 2025 will be on the progress of commercial adoption, with significant contracts already emerging, such as AiZhi Robotics and Yushu Technology securing contracts worth 124 million yuan from China Mobile [12]. - Most integrators have set targets to deliver hundreds to thousands of units by 2025, with AiZhi Robotics planning to deliver 6,500 units and Tesla aiming for several thousand [13]. - The actual achievement of these targets will be a key indicator of industry progress [13]. Group 3: Technological Developments - The report highlights that several important technological updates are expected in the second half of 2025, including Tesla's Optimus Gen 3 and Figure AI's next-generation robot, Figure 03 [18]. - Hardware improvements are focused on rotary and linear actuators, as well as innovations in visual-language-behavior models [19][20]. Group 4: Upcoming Events - Key upcoming events include Tesla's Q2 2025 earnings call, the World Artificial Intelligence Conference, and the World Robot Conference, which will provide insights into the industry's progress [21]. - Morgan Stanley has updated its list of stocks in the Chinese humanoid robot supply chain, covering 45 stocks across various categories, indicating a competitive landscape where order fulfillment and commercial validation will be crucial for market performance [21].