SynapX, a physical AI company, unveiled its "Brain-Hand-Data" technology system at the 2026 World Robot Conference (WRC).

Comprising the SYNWorld embodied native world foundation model, the OctoH-Hand high-DOF bionic dexterous hand, and the OctoSense next-generation embodied data collection solution, the system showcased SynapX's profound and innovative exploration of the next-generation physical AI technology roadmap.

As "AI entering the physical world" becomes a growing industry consensus, embodied intelligence has emerged as a core focus for the sector. SynapX's innovative "Brain-Hand-Data" technology framework offers a fresh pathway for the industry to explore practical paradigms for embodied intelligence.

At the WRC, SynapX unveiled its three-pillar product and technology matrix:

The "Brain": The SYNWorld general world foundation model handles cognition, reasoning, and decision-making. It enables robots to understand the underlying physical laws common to various tasks, achieving cross-scenario and cross-embodiment capability generalization and transfer.

The "Hand": The OctoH-Hand high-DOF bionic dexterous hand serves as an interface between robots and the real world. It empowers robots to execute highly precise and complex operational tasks.

The "Data": The OctoSense next-generation embodied data collection solution achieves cross-subject zero-shot generalization of electromyography (EMG). This allows EMG signals to transcend individual differences and enables nearly lossless alignment of human manipulation data with real hardware, turning every real-world action into learnable experience for robots.

Du Dalong, CEO of SynapX, noted that traditional robots largely rely on preset digital programs, making them ill-equipped for complex and dynamic real-world business environments.

"Looking ahead, next-generation robots must truly step into the physical world. They need environmental understanding, practical operation capabilities, and continuous autonomous iteration to genuinely meet technological advancements and industrial demands," Du stated. "At SynapX, we are building universal productivity for the physical world through a general world foundation model and a general dexterous hand, to better empower the next intelligent leap of the physical realm."

At SynapX's exhibition booth, the company's product lineup and live demonstrations fully illustrated this physical-world universal productivity infrastructure driven by the "Brain-Hand-Data" synergy.

For example, attendees could intuitively grasp the two capability trajectories derived from the "Brain" (SYNWorld)—the Action-controllable World Model (ACWM) and the World-action Model (WAM)—through live demos of tasks like toasting bread, folding clothes, and intricate puzzle assembly.

SynapX posits that the "Brain," "Hand," and "Data" are not isolated modules; rather, they form a complete closed loop of "data collection—world understanding—strategy generation—real-world feedback." Only when data collection is generalizable, highly precise, and trainable; when the "brain" can understand physical laws, judge task goals, and generate action strategies; and when the universal dexterous hand can continuously perceive, reason, decide, and act in open environments, can robots transcend preset actions and truly march toward physical AGI.