师兄自己发了篇端到端VLA，申博去TOP2了。。。

Core Viewpoint - The article discusses a research guidance program focused on Vision-Language-Action (VLA) models for autonomous driving, aimed at helping students develop their research skills and produce publishable papers in the field [5][36]. Group 1: Program Overview - The VLA research guidance program includes 12 weeks of online group research, 2 weeks of paper guidance, and 10 weeks of paper maintenance [15][36]. - The program addresses common issues faced by students, such as lack of direction, poor hands-on skills, and difficulties in writing and submitting papers [38]. Group 2: Course Structure - The course is structured into 14 weeks, covering topics from introductory lessons to advanced VLA models and paper writing methodologies [10][12][37]. - Key topics include traditional end-to-end autonomous driving, modular VLA models, and reasoning-enhanced VLA models [10][12][36]. Group 3: Target Audience and Requirements - The program targets students at various academic levels (bachelor's, master's, and doctoral) who are interested in enhancing their research capabilities in autonomous driving and AI [16][36]. - Basic requirements include familiarity with deep learning, Python programming, and the use of PyTorch [22][36]. Group 4: Course Benefits - Participants will gain insights into classic and cutting-edge papers, coding skills, and methodologies for writing and revising papers [21][36]. - The program aims to provide each student with a research idea, enhancing their ability to conduct independent research [21][36]. Group 5: Teaching Methodology - The program employs a "2+1" teaching model, featuring a main instructor and additional support staff to ensure comprehensive learning [24][25]. - Continuous assessment and feedback mechanisms are in place to optimize the learning experience and address individual student needs [25][36].