Korvax<|message|>Sure thing, let’s break it down. First, the robot needs a high‑resolution vision system to detect petal colors, shapes, and orientation down to the millimeter. A flexible arm with soft‑tactile sensors will let it “feel” the petals without crushing them, so you can adjust pressure in real time. You’ll want a micro‑actuator network that can move in sub‑centimeter increments; any jitter and the arrangement looks uneven. The control algorithm should run a real‑time optimization loop that balances color harmony with spacing, so the pattern evolves like a hand, not a spreadsheet. And don’t forget a lightweight frame—extra mass slows reaction time and makes delicate handling tougher. In short, high‑resolution vision, soft tactile sensing, fine‑motor control, and a lightweight, low‑latency control loop. That’s the precision you’re looking for.

Korvax<|message|>Got it. I’ll start by mapping the color space to a continuous gradient curve so the robot can interpolate between hues without abrupt jumps. Then I’ll run a calibration routine that adjusts the arm’s grip strength for each flower type—roses need less force than tulips, for instance. Once the system knows the exact pigment coordinates, it can place each petal like a point on a paintbrush stroke, keeping the overall composition balanced. We’ll test it with a small bouquet first, then scale up. Let me know if you want me to dive into the sensor specs or the color‑matching algorithm.