从转型和研究来看，什么方向更适合第一篇论文？

Group 1 - The article discusses suitable research directions for publishing papers, particularly in the fields of embodied intelligence, including vln, vla, reinforcement learning, and real2sim2real [1] - For researchers currently engaged in SLAM, vln and vla are recommended as good entry points, especially for those with robotic arms [1] - The article emphasizes the importance of having a good idea for research, noting that new researchers may need to navigate various challenges to develop innovative concepts [1] Group 2 - A new paper guidance service has been launched, offering customized one-on-one mentoring in various advanced topics such as multimodal large models, VLA, reinforcement learning, and more [2] - The mentoring team consists of PhD holders and researchers from top universities and companies, providing comprehensive support from topic selection to publication strategy [2] - The service aims to bridge the gap between academia and industry, focusing not only on paper publication but also on practical application value [3] Group 3 - The article promotes a free matching service for the first ten inquiries, allowing students to have in-depth meetings with mentors based on their research direction and academic background [5]