Xpeng & Figure AI: The development of own AI models for humanoid robots and their advantages-Image: Xpert.digital
Xpeng & Figure AI: Successful secret of their own AI technologies
From precision to independence: the new era of robot development
The development of your own AI models for humanoid robots offers several strategic and technological advantages that become clear in current projects such as Figure AI or Xpeng:
1. Higher precision and domain -specific adaptation
Own AI models enable tailor-made optimization for specific robot hardware and use scenarios. For example, Figure Ai uses its own neural networks for real -time analysis of camaradates (10 Hz) in order to synchronize movements more precisely with voice commands. With the Turing chip (40 kernels for AI calculations), Xpeng relies on hardware-based models that process sensor data directly and thus minimize reaction times.
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2. Independence of external providers
The step of Figure Ai to end the Openai partnership shows that own models offer control over the technology roadmap. This avoids dependencies on third -party providers, the models of which are often optimized in an generic and not industrial requirements (e.g. security in factories).
3. Efficiency increase through vertical integration
The combination of your own AI and robot hardware leads to synergy effects:
- Energy efficiency: Xpengs Turing chip reduces power consumption through specialized calculations.
- Select costs: Avoid own developments and enable scale effects on how BMWS show plans for mass production with Figure AI.
4. Faster learning and adaptation ability
Own AI frameworks such as Nvidia/CMUS ASAP (alignment of simulation and reality) reduce training times for movement sequences by 52.7 %. Robots can learn new skills faster-for example by imitation of humans or AI generated simulations.
5. Competitive advantages in the global market
Chinese manufacturers such as Xpeng or Unitree already dominate through technological sovereignty. Own-developed AI models enable companies to protect IP and offer differentiated products-a decisive factor in the race for industrial applications.
Autonomous robot: key technologies for disaster aid and factories
Despite the advantages, data quality, security certificates and integration with cloud systems remain critical hurdles. However, projects such as the “Safety-KI” from Neura Robotics show how additional AI layers can minimize risks.
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Own AI models drive autonomy, scalability and specialization of humanoid robots-key factors for their use in factories, care or disaster aid.
The development of own AI models for humanoid robots offers companies such as Figure AI and Xpeng strategic and technological advantages that become clear in current projects:
Figure AI: Independence and industrial precision
Figure Ai has ended the collaboration with Openai to develop its own AI models. This enables:
- Hardware-optimized AI: The integration of 360-degree sensors (RGB cameras, infrared, deep sensors) with tailor-made neuronal networks that analyze image data with 10 Hz in order to achieve precise movement control.
- Industrial suitability: In the BMW plant Spartanburg, Figure 02 shows how AI makes autonomous decisions in dynamic environments-for example when handling body parts.
- Cost efficiency: By avoiding openai licenses and focusing on mass production (goal: over 1 million units), Figure AI lowers the unit costs.
Xpeng: Vertical integration through the Turing chip
Xpengs Humanoid robots Iron uses an in-house 40-kernel ki chip that was specially developed for robotics and autonomous driving:
- Real-time processing: The chip processes sensor data directly, reduces latencies and enables 200 degrees of freedom for complex gripping and assembly tasks.
- Scalability: The AI system supports language models with up to 30 billion parameters and can be transferred to robotaxis, aircraft and industrial robots.
- Energy efficiency: Due to domain-specific calculations, the chip consumes 40 % less electricity than generic AI hardware.
Comparison of strategies
The comparison of the strategies of Figure Ai and Xpeng reveals exciting differences in their approaches to integrate modern AI technologies. While Figure Ai specializes in the development of its own AI models that are used primarily in the field of industrial robots, Xpeng follows a different strategy. Here the focus is on the integration of AI chips, which can be used in a variety of ways, which enables broader use.
The two companies also go different ways in key technologies. Figure AI relies on a high -frequency sensor data fusion, a method that allows particularly precise data processing and analysis. Xpeng, on the other hand, scores with its powerful Turing chip, which is equipped with 40 cores and thus offers a significant computing capacity.
The areas of application of both companies underline these differences even more clearly. Figure AI specializes in automotive production and works, for example, with renowned partners such as BMW. Xpeng, on the other hand, is more versatile: his technologies are used in the factory automation, logistics and even in the household.
This comparison shows how different approaches in AI development lead to specific advantages and open unique opportunities in the respective target markets.
Competitive advantages through their own AI
- Faster iteration: Figure AI trains models with factory data from the BMW insert to minimize error rates.
- IP protection: Xpengs Turing chip architecture is patented and protects against imitation.
- Cloud-independence: Both companies rely on EDGE computing to reduce default risks in real-time scenarios.
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