Tesla Optimus has evolved, and the price is "lower than the car."
Source|Qubit
ID:QbitAI
Author|Jin Lei Xifeng
Reprinted with permission
Musk’s humanoid robot——Tesla Optimus has evolved, and the price is “lower than a car.”
Now, groups of Optimus have learned to move forward slowly like humans:
In the video, they also passed by the Cybertruck production room, which was full of cyberpunk flavor.
And Optimus are not simply walking, but discovering and memorizing the surrounding environment while walking:
Next, is a more detailed demonstration of capabilities.
For example, Tesla demonstrated the ability of Optimus motor torque control, which can control the force without breaking the egg:
Handwork is also passable, and I can handle various objects freely:
This is the latest capability demonstrated by Optimus on the Tesla Shareholders Day that ends today.
It is not difficult to find that compared with the earliest release, Tesla humanoid robots have indeed improved in capabilities.
And it is also different from the previous Tesla AI Day. It is no longer a PPT-like promotional video.
But the similarities are also more obvious: did not appear at the scene!
However, Musk was very calm and expressed his position directly at the scene:
Tesla’s humanoid robot is leading the way. This video was just made yesterday.
So where does his confidence come from?
Already connected with FSD algorithm
The video Tesla released this time did not provide any technical analysis of Optimus.
But Musk revealed that Tesla has opened up the underlying modules of FSD and robots and achieved a certain degree of algorithm reuse.
So what is the underlying FSD algorithm technology? What else can be applied to robots?
Tesla’s FSD algorithm refers to the algorithm used by its Full Self-Driving system.
It is adopted to realize the autonomous navigation and autonomous driving functions of vehicles, so that vehicles can perceive, make decisions and control in various traffic environments.
FSD algorithm mainly relies on neural network and computer vision technology.
The FSD algorithm can also generate vehicle control instructions, including acceleration, braking, steering, etc.
Tesla uses large-scale data sets to train models, which can improve the performance and robustness of the algorithm in complex environments.
As we just mentioned, Tesla said this time that it has opened up the underlying modules of FSD and robots, and believes that the essence of autonomous driving is actually robots.
The FSD algorithm can also play an important role in the perception, decision-making and control of robots.
Similar to Tesla’s environmental perception, which mainly relies on vision, the same is true for robots.
At the perception level, an important technology of Tesla is the Occupancy Network, which is used to detect some long-tail obstacles in 3D space to estimate the location and size of obstacles and even estimate the size of objects. Movement situation.
In autonomous driving, the FSD algorithm can perform path planning and decision-making based on perceived environmental information.
Similarly, this method of path planning and decision-making can also be applied to robots to help robots choose the best path and perform appropriate decisions in complex environments.
At Tesla AI Day last year, Tesla announced Lanes Network, an online vector map construction model that can obtain the topology of lane lines and help autonomous vehicles change lanes.
However, due to differences in the fields of robotics and autonomous driving, the FSD algorithm may need to be adapted and improved to meet the specific needs and tasks of robots.
All of this can be realized based on Tesla’s strong technical software foundation (that is, what is in Tesla’s supercomputing center).
Although Optimus has made a breakthrough in technology, netizens still expect it to achieve such effects:
However, a Stanford doctor also wrote:
The robotics field is still waiting for a GPT-3-like moment. Natural language processing has integrated advanced features of autoregressive transformers, next word prediction, and reinforcement learning into a complete solution. Still, there are no proven "solutions" that can achieve the same results as robotics.
Musk: Mature Optimus will reach 10 billion units
Although from an effect point of view, Optimus's performance is not as amazing as Boston Dynamics' jumping, turning and flipping, it seems that Boss Ma's intention is not that.
After all, as early as AI Day, he bluntly stated that "it is obviously not doing parkour" (the irony is also in place).
At that time, the Optimus display session was arranged after the autonomous driving session, and it is the same this time. As for why it was arranged this way, Musk also mentioned it before:
The car should be a robot on wheels.
This time Musk made some additions to this. He believes:
Autonomous driving is getting closer to artificial intelligence in the general real world. Similarly, software can also be transferred to humanoid robots.
If you know anything about real-world artificial intelligence, you will know that the work we are doing now is to transfer the ability of self-driving to everything.
However, many people still have disputes about Optimus’s “progress schedule”.
Because Musk boasted last year that mass production would occur in Haikou this year, but judging from the current process, it is still open to question.
Foreign media Electrke estimates that Optimus is still three years away from a useful product.
But judging from this year’s event, Musk’s attitude towards Optimus is still optimistic and persistent. He stated this for the first time:
Robots supported by universal AI algorithms are where Tesla’s long-term value lies in the future.
In addition, Musk also boldly predicted:
If Optimus becomes mature and available, many people will want to own one or more, and their number may reach 10 billion or even 20 billion!
So what do you think of Musk’s prediction?
Today’s topic
Are you optimistic about the development of Tesla humanoid robots?
Come to the comment area and let’s chat~
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