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On Thanksgiving, Tesla's Optimus robot has once again redefined our imagination of robotic technology. In the latest demonstration video, this humanoid robot showcased its astonishing hand operation ability by effortlessly catching thrown tennis balls. This is not just a simple catching performance. Optimus's new hands and forearms integrate several revolutionary technologies. Its hands have 22 degrees of freedom, while the wrists and forearms add an additional 3 degrees of freedom, bringing its dexterity close to the human hand's 27 degrees of freedom. This means the robot is performing with astonishing capability.

Innovative design approach: using machine learning algorithms to optimize the parameter design of tactile sensors, achieving an organic combination of design and algorithms. Technical highlights: support vector machine algorithms optimize design parameters for accurate recognition of various touch patterns. Application prospects: shorten the R&D cycle, reduce costs, and expand human-computer interaction applications.

Toyota Research Institute uses generative artificial intelligence to train robots to make breakfast without coding. The robots learn over 60 challenging skills through tactile perception, such as pouring liquids, using tools, and manipulating deformable objects. The goal is to expand to 1,000 new skills by the end of 2024, enabling robots to observe, learn, and perform tasks they have not been explicitly taught. Tactile sensors provide the robots with perception capabilities, increasing efficiency in performing complex tasks. Toyota is collaborating with other companies to research AI robot training, aiming for a future where tasks can be executed without detailed instructions.