An Integrated Approach to Context-Sensitive Moral Cognition in Robot Cognitive Architectures

Acceptance of social robots in human-robot collaborative environments depends on the robots' sensitivity to human moral and social norms. Robot behavior that violates norms may decrease trust and lead human interactants to blame the robot and view it negatively. Hence, for long-term acceptance,...

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Published in2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 1911 - 1918
Main Authors Blake Jackson, Ryan, Li, Sihui, Balajee Banisetty, Santosh, Siva, Sriram, Zhang, Hao, Dantam, Neil, Williams, Tom
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.09.2021
Subjects
Cognition
Ethics
Privacy
Reflection
Robot sensing systems
Sensitivity
Waste materials
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Summary:Acceptance of social robots in human-robot collaborative environments depends on the robots' sensitivity to human moral and social norms. Robot behavior that violates norms may decrease trust and lead human interactants to blame the robot and view it negatively. Hence, for long-term acceptance, social robots need to detect possible norm violations in their action plans and refuse to perform such plans. This paper integrates the Distributed, Integrated, Affect, Reflection, Cognition (DIARC) robot architecture (implemented in the Agent Development Environment (ADE)) with a novel place recognition module and a norm-aware task planner to achieve context-sensitive moral reasoning. This will allow the robot to reject inappropriate commands and comply with context-sensitive norms. In a validation scenario, our results show that the robot would not comply with a human command to violate a privacy norm in a private context.
ISSN:2153-0866
DOI:10.1109/IROS51168.2021.9636434