Core Viewpoint - Tesla is shifting its training strategy for the Optimus humanoid robot to primarily rely on video training instead of motion capture and remote operation, reflecting Elon Musk's commitment to machine vision and AI approaches [1][3][10]. Group 1: New Training Strategy - The new strategy involves recording videos of workers performing tasks to teach robots how to execute actions like picking up objects or folding T-shirts, moving away from outdated methods [1][4]. - Internal sources indicate that abandoning motion capture suits and remote operation will allow for faster data collection scaling [1][4]. - The transition period saw a temporary halt in hiring for the Optimus team, with over 50 individuals having held the position in the past year [4]. Group 2: Comparison with Industry Standards - The use of motion capture and remote operation is standard in the industry, as seen with companies like Boston Dynamics, which trains its Atlas robot using these methods [3][12]. - Experts suggest that while video data can supplement training, it may be challenging for robots to translate video information into real-world actions effectively [3][12]. Group 3: Challenges and Future Directions - The training demands for the Optimus robot are expected to be significantly higher than those for Tesla's autonomous vehicles, potentially requiring ten times the data [9][12]. - There is speculation that Tesla may adopt a more generalized approach to training, similar to Physical Intelligence, which provides extensive demonstration data for robots to learn transferable skills [9]. - Experts warn that relying solely on video data without real-world practice could hinder the robot's ability to perform complex tasks [12].
特斯拉或改变Optimus的训练策略,加入视频学习