Article • service-robots
Dreame Technology Unveils Physical AI Architecture Across 100+ Products at IFA 2026

Dreame Technology showcased over 100 products across more than 16 categories at IFA 2026, alongside multiple technology innovations built on nine years of development in intelligent hardware, AI models, and motion control.
The company presented a common technology architecture comprising three foundations: the Omni-Perception System, the Unified Home Intelligence Model, and the Intelligent Actuation & Control System. Related capabilities are also being explored through the research-stage ECHO S1 and ECHO P1 platforms.
The product portfolio spans smart cleaning, air purification, window cleaning, personal care, and cooking applications, all sharing a common approach of covering space, recognizing environments, determining tasks, and executing actions reliably.
Key product innovations include the Cyber X stair-climbing system for robotic vacuums, combining a biomimetic six-legged tracked structure with 3D ToF sensing for multi-storey homes, the T16 Pro Heat wet and dry vacuum, and the Pano10 Series window-cleaning robot.
Six products across categories including robot vacuums, hair dryers, home environment appliances, window-cleaning robots, and robotic lawn mowers received international awards at the Berlin event.
Dreame's Physical AI architecture integrates three core stages — perception, decision-making, and execution — with continuous feedback. The Omni-Perception System acquires data, the Unified Home Intelligence Model integrates MLLM, VLM, and VLA capabilities, and the Intelligent Actuation & Control System executes physical actions.
The research-stage ECHO S1 platform explores continuous household laundry-care tasks including garment recognition, sorting, washing, and drying, while the ECHO P1 wheeled humanoid robot explores multi-step household tidying, organization, and object transport.
Dreame products have reached more than 190 countries and regions, serving over 42 million households worldwide and providing real-world engineering data to accelerate its Physical AI technology development pathway.
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