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An architecture for ethical robots

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arxiv 1609.02931 v1 pith:S5Y3VWTL submitted 2016-09-09 cs.RO

classification cs.RO
keywords ethicalrobotrobotsarchitectureaccordingactionsautonomousharm
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Robots are becoming ever more autonomous. This expanding ability to take unsupervised decisions renders it imperative that mechanisms are in place to guarantee the safety of behaviours executed by the robot. Moreover, smart autonomous robots should be more than safe; they should also be explicitly ethical -- able to both choose and justify actions that prevent harm. Indeed, as the cognitive, perceptual and motor capabilities of robots expand, they will be expected to have an improved capacity for making moral judgements. We present a control architecture that supplements existing robot controllers. This so-called Ethical Layer ensures robots behave according to a predetermined set of ethical rules by predicting the outcomes of possible actions and evaluating the predicted outcomes against those rules. To validate the proposed architecture, we implement it on a humanoid robot so that it behaves according to Asimov's laws of robotics. In a series of four experiments, using a second humanoid robot as a proxy for the human, we demonstrate that the proposed Ethical Layer enables the robot to prevent the human from coming to harm.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ApplE: A Modular Ontology of Applied Ethics and Event Context for Ethical Decision Modeling

    cs.CY 2025-02 conditional novelty 6.0 of 10

    ApplE is a modular OWL ontology that pairs ethical theory (consequentialism, deontology, virtue ethics) with event context to classify actions as morally right, wrong, or grey.

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