Mon Sep 09 15:12:04 UTC 2024: ## Lazier Robots: Smarter Data Processing Could Make Machines More Helpful and Energy-Efficient
**Eindhoven, Netherlands** – Researchers are exploring a new approach to robotics called “lazy robotics” that aims to make robots more efficient by teaching them to prioritize information and ignore irrelevant data. This approach, championed by Professor René van de Molengraft of Eindhoven University of Technology, could lead to robots that are more energy-efficient, safer, and better at interacting with their environment.
Van de Molengraft uses the RoboCup, an annual international robotics and AI competition, as a testing ground for his lazy robotics principles. His team, Tech United, won this year by employing tactics that allow the robots to focus on relevant information, such as the location of the ball and the positions of their teammates, while ignoring unnecessary details.
One key strategy involves creating a “world model” of the soccer field, mapping out its layout and markings. This allows the robots to conserve battery power by avoiding constant scanning of their surroundings.
The researchers are also experimenting with robots choosing their own paths to destinations, saving energy and allowing them to adapt to unexpected obstacles.
The concept of lazy robotics has implications beyond the soccer field. Companies like Mytra are developing autonomous machines for warehouses that use machine learning to optimize routes and reduce unnecessary data processing, making them more efficient and reliable.
Amazon, with its massive fleet of over 750,000 robots, is also exploring AI-powered decision-making to improve efficiency and safety in its warehouses.
While the development of lazy robotics is still in its early stages, researchers are optimistic about its potential to improve the performance, efficiency, and safety of robots in various fields. As Professor Daniel Polani of the University of Hertfordshire points out, “Organisms try not to process information that they don’t need to because that processing is very expensive.”
The future of robotics might involve machines that are more selective and strategic in their data processing, becoming “lazier” in the way they interact with the world. This could pave the way for more intelligent, efficient, and safe robots that can better serve human needs.
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