Curated primer on how robots plan, reason, and adapt their behaviour using rule-based logic and learning.
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2025 Update: Gemini Robotics 1.5
Google’s Gemini Robotics 1.5 demo showed agents planning physical motions, then handing them to real-world controllers that mirror the simulated click/drag cues used in desktop automation.
Copy the pattern: let the reasoning layer narrate its intended move (“move arm to shelf, angle 30°”), log it for review, then trigger the actuator. That narration keeps humans confident the robot isn’t improvising unsafe behavior.
Treat every new surface (kitchen counters, factory bins) as a fresh lesson. Gemini’s team retrained with self-captured videos; you can do the same by filming edge cases and letting the agent critique its own handling before deployment.