星炽动力亮相2026 WRC：以PULSE连接多元场景与真实世界
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Merged summary
TL;DR - At WRC 2026, Xingchi Dynamics demonstrated PULSE, an embodied world-action model designed to transfer robot capabilities across delivery, education, and commercial-service scenarios. Its approach combines cloud-edge-device execution with first-person demonstrations and real-robot data to create a continuous training and validation loop.
- PULSE links perception, intent understanding, reasoning and simulation, action execution, and feedback-driven improvement in a closed loop.
- A unified model can adapt to different robot embodiments, allowing learned capabilities to be reused across products and environments.
- Device-side systems handle real-time perception, control, and safety; edge systems perform multimodal fusion and low-latency decisions; the cloud supports longer-context reasoning and global optimization.
- First-person data provides scalable human demonstrations, while real-robot data captures embodiment constraints, failures, interventions, and recovery needed for calibration and validation.
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星炽动力亮相2026 WRC：以PULSE连接多元场景与真实世界
TL;DR - At WRC 2026, Xingchi Dynamics demonstrated PULSE, an embodied world-action model designed to transfer robot capabilities across delivery, education, and commercial-service scenarios. Its approach combines cloud-edge-device execution with first-person demonstrations and real-robot data to create a continuous training and validation loop.
- PULSE links perception, intent understanding, reasoning and simulation, action execution, and feedback-driven improvement in a closed loop.
- A unified model can adapt to different robot embodiments, allowing learned capabilities to be reused across products and environments.
- Device-side systems handle real-time perception, control, and safety; edge systems perform multimodal fusion and low-latency decisions; the cloud supports longer-context reasoning and global optimization.
- First-person data provides scalable human demonstrations, while real-robot data captures embodiment constraints, failures, interventions, and recovery needed for calibration and validation.