Core Insights - The VLA (Vision-Language-Action) model is currently a focal point in the field of embodied intelligence, attracting significant attention in both academia and industry [1][2] - The performance of VLA models is heavily dependent on the quality of data collection, with many practitioners facing challenges in data acquisition [2][3] Course Overview - The course titled "Full-Stack Course on Data Collection and Remote Operation Algorithms for Embodied Intelligence" aims to provide practical skills in DIY remote operation hardware and data collection [3] - The curriculum emphasizes hands-on experience and practical applications rather than just theoretical knowledge [3][8] Challenges in Remote Operation - There is a significant gap between simulation and real-world applications (Sim2Real), leading to poor performance when models trained in simulation are applied to real machines [5] - Remote operation often suffers from poor tactile feedback, high latency, and noisy trajectory data, making it difficult for models to learn effectively [5] - High costs associated with professional remote operation equipment pose a barrier for students and startups [5] Course Highlights - The course combines both simulation and real-world applications, covering data collection in the MuJoCo simulation environment and practical operations [7][8] - Introduction of the Ringo hardware solution for hand-held remote operation, which addresses issues of perspective and control alignment [9] - Comprehensive coverage of various scenarios, from single-arm to full-body motion capture, including dual-arm collaboration and force feedback data collection [10][12] Detailed Curriculum - The course includes modules on remote operation basics, data collection methods, and advanced topics such as TCP mapping and joint isomorphic remote operation [6][14][16] - It also covers the principles of motion capture systems, including sensor layout and coordinate remapping [17] Target Audience - The course is designed for job seekers in the embodied intelligence field, researchers in VLA or robotics, developers transitioning from other tech fields, and hardware enthusiasts interested in DIY solutions [26]