Activity Planning for Assistive Robots Using Chance-Constrained Stochastic Programming

In this article, we present a framework for planning an activity to be executed with the support of a robotic navigation assistant. The two main components are the activity and the motion planner. The activity planner composes a sequence of abstract activities, chosen from a given set, to synthesize...

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Vydáno v:	IEEE transactions on industrial informatics Ročník 17; číslo 6; s. 3950 - 3961
Hlavní autoři:	Bevilacqua, Paolo, Frego, Marco, Palopoli, Luigi, Fontanelli, Daniele
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Activity planning assistive robots chance constrained optimization (Opt) Constraints Informatics integer programming Legged locomotion motion planning Optimization Planning Probabilistic logic Service robots Stochastic processes Stochastic programming
ISSN:	1551-3203, 1941-0050
On-line přístup:	Získat plný text
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