-- On May 8, 2026, the Beijing Innovation Center of Humanoid Robotics hosted a livestream themed around the “Wise KaiWu” Agent. With the goals of being “fully autonomous, more open, and easier to use,” the event showcased breakthroughs in embodied intelligent tactile interaction. Featuring the industry’s first global scene perception and dynamic memory system, the platform enables robots to evolve from passive execution to proactive task handling, and from simple assignments to complex operations, opening up entirely new possibilities for embodied intelligence. Today, global embodied intelligence is rapidly evolving from “being able to converse” to “being able to work,” while AI Agents are moving from the digital realm into the physical world. Wise KaiWu began development a full year earlier than frameworks such as OpenClaw. After 14 months of iteration, it has achieved four major breakthroughs: spatial memory, personalized interaction at scale, one-time development with multi-robot deployment, and real-world robot validation. The result is a mass-producible and reusable professional-grade embodied intelligence solution designed to provide a practical intelligent foundation for household, commercial, and industrial applications. Spatial Memory + Personalized Intelligence: Robots That Understand Both Environments and People 1. Spatial Memory: The Industry’s First Global Dynamic Memory System Beyond “What You See Is What You Get” Traditional robots rely heavily on instantaneous visual input. Once an object leaves the field of view, it effectively “disappears,” and any environmental change can trigger “memory loss,” preventing robots from performing complex reasoning or long-duration tasks. Wise KaiWu Agent introduces the industry’s first global scene perception and dynamic spatial memory system: - Building dynamic semantic maps that record object categories, colors, positions, and spatial relationships while updating them in real time; - Enabling persistent memory across time and viewpoints, allowing robots to accurately locate items even after they leave visual range; - Supporting relational reasoning