New algorithm teaches robots how not to hurt humans in workplaces

Source: interestingengineering
Author: @IntEngineering
Published: 8/29/2025
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Read original articleResearchers at the University of Colorado Boulder have developed a new algorithm that enables robots to make safer decisions when working alongside humans in factory environments. Inspired by game theory, the algorithm treats the robot as a player seeking an “admissible strategy” that balances task completion with minimizing potential harm to humans. Unlike traditional approaches focused on winning or perfect prediction, this system prioritizes human safety by anticipating unpredictable human actions and choosing moves that the robot will not regret in the future.
The algorithm allows robots to respond intelligently and proactively in collaborative workspaces. If a human partner acts unexpectedly or makes a mistake, the robot first attempts to correct the issue safely; if unsuccessful, it may relocate its task to a safer area to avoid endangering the person. This approach acknowledges the variability in human expertise and behavior, requiring robots to adapt to all possible scenarios rather than expecting humans to adjust. The researchers envision that such robots will complement human strengths by handling repetitive, physically demanding tasks, potentially addressing labor shortages in sectors like elder
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robotroboticshuman-robot-interactionsafety-algorithmsindustrial-robotsworkplace-safetyartificial-intelligence