🤖 AI Summary
            DJI has launched Romo, its first robot vacuum line, in select European markets — three models (S, A, P) priced €1,299–€1,899 — that transplant the company’s drone-grade autonomy to home cleaning. Romo pairs dual fisheye vision sensors and solid-state LiDAR with edge-aware depth algorithms and real-time path planning so the device maps rooms, predicts and avoids collisions, and adapts behaviors (e.g., changing brush speed for specific debris, extending/retracting flexible arms based on edge geometry). Features include self-emptying base, mopping, deodorizer dosing, and encrypted remote video feeds with two-factor authentication; many routines and AI-generated maps are managed through the DJI Home app.
For the AI/ML community, Romo is a notable example of cross-domain transfer: flight-tested perception and decision models being repurposed for slower, cluttered indoor environments. Technically, its blend of multi-sensor fusion, on-device inference, and feedback-driven behavior tuning suggests a shift from reactive obstacle avoidance toward prediction-driven cleaning policies. Practically, limited smart-home integration (weaker HomeKit/Alexa support), high price, and constrained availability mean Romo is more a showcase and early adopter play than an immediate Roborock killer — but it signals how advanced autonomy stacks could reshape consumer robotics as DJI iterates and scales.
        
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