Robots treat all data equally, but teaching them to prioritize could make them safer and more energy-efficient, essential for broader adoption in real-world tasks.
The principle of 'lazy robotics' aims to help robots by making them smarter in how they process data, distinguishing between what needs attention and what can be ignored.
Simplifying task execution and data processing will ultimately enable robots to operate more efficiently, addressing the long-standing challenge of high energy consumption in robotics.
René van de Molengraft emphasizes teaching robots to be 'lazier' with their data can facilitate better interaction with their environments, including human counterparts.
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