In the robotics industry, it’s possible to sell even just the “shell” and still achieve a huge market valuation.
But from an engineering perspective, the truly difficult part may not be mechanical capability.
Motors, joints, reducers, sensors, mechanical structures—although these have technical barriers, at their core they are all relatively well-defined engineering problems. As the supply chain matures, production scales up, and technologies iterate, mechanical capability will eventually converge.
What’s truly hard is model capability, as well as safety capability and privacy protection.
Once robots enter the real world, it’s not just about whether they can move. It’s whether they can understand the environment, judge situations, plan actions, handle exceptions, and remain stable in complex scenarios.
Mechanical capability is like a fixed target, while model capability is a moving target.
So in the long run, a robot’s real core competitiveness probably isn’t about whose robot looks more human, has more joints, or moves more smoothly. It’s about who has a stronger model, richer real-world data, and a more reliable safety system.
Mechanics is the body; the model is the brain. What will truly be valuable in the future robotics industry may not be that “shell,” but the intelligence hidden behind it.
Otherwise, you just end up with a giant toy. Betting on Tesla—its visual capabilities, privacy and security, and models already show a certain level of strength.
To the robots in China—come on, young ones.
Not long ago, when you were obedient and entered the humanoid robotics industry, selling shells and selling concepts could still “circle money” in the capital markets.
Now, a company comes out that talks about model capability, privacy and security, and visual spatial perception—and it can also “circle money.” Are there brothers in related fields? Or it’s still possible to创业圈米—there’s just too much capital already accumulated in financial markets, especially in China. If you “circle” for long enough, you become a giant.
In the past, many mechanical patents were public patents, and there were fewer challenging targets that needed serious effort in mechanical engineering.
$BTC $ETH $LDO #btc #eth #ldo
But from an engineering perspective, the truly difficult part may not be mechanical capability.
Motors, joints, reducers, sensors, mechanical structures—although these have technical barriers, at their core they are all relatively well-defined engineering problems. As the supply chain matures, production scales up, and technologies iterate, mechanical capability will eventually converge.
What’s truly hard is model capability, as well as safety capability and privacy protection.
Once robots enter the real world, it’s not just about whether they can move. It’s whether they can understand the environment, judge situations, plan actions, handle exceptions, and remain stable in complex scenarios.
Mechanical capability is like a fixed target, while model capability is a moving target.
So in the long run, a robot’s real core competitiveness probably isn’t about whose robot looks more human, has more joints, or moves more smoothly. It’s about who has a stronger model, richer real-world data, and a more reliable safety system.
Mechanics is the body; the model is the brain. What will truly be valuable in the future robotics industry may not be that “shell,” but the intelligence hidden behind it.
Otherwise, you just end up with a giant toy. Betting on Tesla—its visual capabilities, privacy and security, and models already show a certain level of strength.
To the robots in China—come on, young ones.
Not long ago, when you were obedient and entered the humanoid robotics industry, selling shells and selling concepts could still “circle money” in the capital markets.
Now, a company comes out that talks about model capability, privacy and security, and visual spatial perception—and it can also “circle money.” Are there brothers in related fields? Or it’s still possible to创业圈米—there’s just too much capital already accumulated in financial markets, especially in China. If you “circle” for long enough, you become a giant.
In the past, many mechanical patents were public patents, and there were fewer challenging targets that needed serious effort in mechanical engineering.
$BTC $ETH $LDO #btc #eth #ldo
