首页|Delft University of Technology Researchers Yield New Data on Robotics (Meaningful human control and variable autonomy in human-robot teams for firefighting)
Delft University of Technology Researchers Yield New Data on Robotics (Meaningful human control and variable autonomy in human-robot teams for firefighting)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Frontiers Media Sa
2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news reporting out of Delft, Netherlands, by NewsRx editors, research stated, “Humans and robots are increasingly collaborating on complex tasks such as firefighting. As robots are becoming more autonomous, collaboration in human-robot teams should be combined with meaningful human control.” Our news editors obtained a quote from the research from Delft University of Technology: “Variable autonomy approaches can ensure meaningful human control over robots by satisfying accountability, re- sponsibility, and transparency. To verify whether variable autonomy approaches truly ensure meaningful human control, the concept should be operationalized to allow its measurement. So far, designers of vari- able autonomy approaches lack metrics to systematically address meaningful human control. Therefore, this qualitative focus group (n = 5 experts) explored quantitative operationalizations of meaningful human control during dynamic task allocation using variable autonomy in human-robot teams for firefighting. This variable autonomy approach requires dynamic allocation of moral decisions to humans and non-moral decisions to robots, using robot identification of moral sensitivity. We analyzed the data of the focus group using reflexive thematic analysis. Results highlight the usefulness of quantifying the traceability requirement of meaningful human control, and how situation awareness and performance can be used to objectively measure aspects of the traceability requirement. Moreover, results emphasize that team and robot outcomes can be used to verify meaningful human control but that identifying reasons underlying these outcomes determines the level of meaningful human control.”
Delft University of TechnologyDelftNetherlandsEuropeEmerging TechnologiesMachine LearningNano-robotRobotRobotics
NETL
NSTL
Frontiers Media Sa
