This invention describes a way for robots to adapt their actions on the fly. Instead of following a fixed script, the robot's control system can detect changes in its work area using sensors. When a change is detected, the system automatically adjusts the robot's instructions in real-time, for example, if it encounters a wrong part during assembly, it can modify its plan to deal with that specific issue.
Why it matters: Filed before the widespread adoption of advanced AI and machine learning in robotics. Modern AI models can now more effectively learn complex relationships between sensor inputs and control parameters, enabling more robust and truly adaptive real-time program modification than was feasible a decade ago.
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