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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Vydané v:	IEEE robotics and automation letters Ročník 7; číslo 4; s. 1 - 8
Hlavní autori:	Frasca, Tyler, Scheutz, Matthias
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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