Recently, Tesla reached a key technology upgrade in the humanoid robot field: its latest mass-production version of Optimus is the first to be fully equipped with an end-to-end vision large model that shares the same lineage as FSD (Full Self-Driving). This core architecture upgrade has completely changed the rigid pattern in which robots previously relied on traditional hard-coded programs, enabling a qualitative leap in robots' autonomous decision-making and physical movements in complex physical environments.

In terms of technical implementation, the new generation of Optimus has abandoned traditional modular, step-by-step algorithms and instead adopted an end-to-end approach directly driven by neural networks, going from visual input to action output. This means the robot only needs to perceive its surroundings through onboard stereo cameras, and the large model can generate high-precision full-body joint control commands in real time. In field tests, whether responding to sudden external pushes, walking steadily on uneven surfaces, or performing delicate object grasping and sorting, Optimus demonstrated extremely high levels of motion smoothness, response speed, and balance.

In addition to iterations of its core algorithms, hardware and mass-production progress have also attracted considerable attention. By optimizing lightweight materials and joint motors, Tesla's engineering team has significantly reduced the robot's overall energy consumption, greatly improving its runtime per charge. Meanwhile, the Gigafactory in Texas is accelerating the construction of a dedicated production line, laying a solid foundation for subsequent large-scale mass production.

Industry analysts point out that with the successful deployment of end-to-end large models on humanoid robots, embodied intelligence is accelerating its move from the laboratory to real commercial application scenarios. This move by Tesla not only further consolidates its leading position in the integration of smart manufacturing and artificial intelligence, but also marks that humanoid robots have officially entered a new era driven by full-stack AI.