The former technical director of the Tesla Optimus human robotics project, Lee, created by Proception, announced the completion of $11 million in seed ship financing and began delivering the first high-mixed mechanics after a settlement with Tesla. The company wants to get into the most difficult and standardized link in the human robotics industry: to get the robots closer to manual operations.
Post-conciliation disclosure of financing and delivery
Tesla sued Li Chia last year for taking business secrets and creating Proception. After months of legal confrontation, the parties reached a settlement and Tesla withdrew the proceedings earlier this month.
At the end of the proceedings, Proception announced the completion of seed-wheel financing on Monday. This round was led by First Round Capital, Y Combinator and BoxGroup. At the same time, the company indicated that the first products had begun to be shipped to researchers and robotics companies and that a wider range of orders had been opened.
- Size of financing: $11 million
- Rounds: Seed wheels
- Investors: First Round Capital, Y Combinator, BoxGroup
It's one of the hardest steps in targeting robots.
The goal of Proception is not to do the machine directly, but to become a robotic supplier. According to Li, while the industry has attracted considerable funding and attention, the resources for real investment in high-tech mechanics remain insufficient.
Hand control of robots has been seen as one of the difficulties of human robots landing. Mask has also publicly stated that robots are important engineering issues that remain unresolved. While it is widely expected that man-shaped robots will gradually enter the factory in the coming years, there is a general consensus in the industry that it will take longer to get the mechanics to a level of practicality close to human hands.
More emphasis on data collection than hardware
According to Proception, the problem is not just the hardware itself, but is also training how to obtain the data. According to Lee, many companies place greater emphasis on hardware or rely on hard-to-extension data collection methods, which limits the ability of mechanics to learn complex operations.
The mechanics being developed by the company are equipped with sensor-intensive “skin” systems that can be used to collect more detailed tactile and mission data. According to Proception, this robot has 22 degrees of freedom, each of which has multiple joints to support more sophisticated actions.
Li indicates that hardware and scalable data need to be synchronized to make high-intensity operations truly operational. In his view, such a route would also be more appropriate for subsequent expansion of training and deployment.
The investors' ability to bet on hand is out.
First Round Capital Partner Bill Trenchard states that one of the reasons for looking at Proception is its simultaneous layout of mechanical hardware, bottom data and modelling capabilities. In his view, smart operation is one of the “last kilometres” in which human robots move to practical applications.
As the human robot track continues to heat up, the data infrastructure around the hand, touch and fine operation is becoming a new direction for capital attention. The progress of this financing and delivery also shows that the robotics industry chain is moving further from a full-flight narrative to competition for key components and training capabilities.