Tesla aims to increase Optimus production by 10 times, reaching 1,000 units per week. However, Tesla Optimus production problems and learning processes continue.
Tesla increased its production capacity 10 times for its humanoid robot Optimus. Although Tesla Optimus continues to struggle with production problems, the company aims to produce 1,000 robots per week by the end of the year.
If the current production momentum is maintained, the company is expected to achieve this target. However, this increase in production volume is not yet sufficient for robots to operate at full efficiency in real-world conditions.
Challenges and Supplier Obstacles in the Production Process
According to the information shared by The Information, there are some disruptions caused by suppliers in the mass production process. Technical problems, especially in the alignment of parts, can slow down the production line.
The robot's hands stand out as one of the most complex parts in terms of manufacturing and durability. Bringing together more than 100 components requires a process that is both costly and time-consuming.
A small assembly error can cause parts to be reworked. To overcome this problem, Tesla plans to use a replaceable sensor glove instead of replacing all of the faulty sensors.
Optimus's hands must simultaneously provide complex capabilities such as precise movement and the sense of touch. Imitating these features in a robotic system stands out as a very challenging process in terms of engineering.
Learning Capacity and Real World Adaptation
For Optimus to be truly functional in factories, it is not enough for him to just perform programmed tasks. The robot needs to adapt to unexpected situations when working with objects of different sizes and weights.
For example, in order to fulfill an employee's command to pick up boxes and place them on a specific shelf, it is not enough for the robot to simply lift the box. It is also expected to be able to cope with situations such as boxes falling or encountering obstacles on the road.
Today, Optimus is able to perform the tasks for which he was specially trained. However, when he encounters a situation he has not encountered before, he can exhibit unexpected behavior.
Even some simple tasks may require training the robot for days. Tesla is creating a large library of basic behaviors to solve this situation.
Basic movements such as grasping, lifting and walking are used as the building blocks of more complex tasks. The company has collected more than 500,000 hours of training data for this purpose.
Employees equipped with motion capture suits and cameras are used to expand the data set. This data helps the robot learn new tasks faster.
Although high production capacity is an important step for the commercial future of the project, it is not sufficient on its own. Robots need to operate reliably millions of times.
Learning new tasks without long-term special training is critical to the success of the project. How long do you think Tesla will be able to overcome this complex learning process required for humanoid robots to become widespread in the real world?
