A Framework for Robot Self-Assessment of Expected Task Performance

We propose a self-assessment framework which enables a robot to estimate how well it will be able to perform a known or possibly novel task. The robot simulates the task to generate a state distribution of possible outcomes and determines (1) the likelihood of overall success, (2) the most probable...

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Bibliographic Details

Published in:	IEEE robotics and automation letters Vol. 7; no. 4; pp. 1 - 8
Main Authors:	Frasca, Tyler, Scheutz, Matthias
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Human-robot interaction Human-Robot Teaming Methods and Tools for Robot System Design Navigation Predictive models Probability distribution Robot sensing systems Robots Self assessment Simulation and Animation Symbols Task analysis
ISSN:	2377-3766, 2377-3766
Online Access:	Get full text
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