Xingchi Dynamics Debuts at 2026 WRC: Connecting Diverse Scenarios and the Real World with PULSE

Xingchi Dynamics showcased its PULSE embodied AI system at the 2026 World Robot Conference. The core of the system lies in enabling robots to possess cross-scenario understanding and execution capabilities. Through on-site demonstrations, it showed how the same model can understand instructions and dynamically adjust execution strategies in different environments.

The key challenge of embodied AI lies in generalization capability. Traditional robots are often limited to single tasks or fixed environments, while the PULSE system emphasizes the combination of multi-scenario and real-robot data, aiming to solve the adaptability issues when robots move from exhibition halls to complex real-world environments such as communities and education.

This model-based capability reuse may lower the deployment threshold for embodied AI. If a single system can effectively handle various daily tasks, it will accelerate the implementation of robots in fields such as commercial services and home assistance, promoting the transformation of embodied AI from proof of concept to practical application.

As an industry bellwether, the World Robot Conference showcased the latest progress in humanoid robots and embodied AI. Xingchi Dynamics' participation this time focused on the closed loop of models and real data, reflecting the industry's emphasis on robots' continuous learning and environmental adaptability.

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