KFU. Card publication. Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

PRIORITIZING TASKS WITHIN A ROBOTIC TRANSPORTATION SYSTEM FOR A SMART HOSPITAL ENVIRONMENT

Form of presentation

Articles in international journals and collections

Year of publication

2021

��

��

Authors, employees of KFU

Lavrenov Roman Olegovich, author

Magid Evgeniy Arkadevich, author

Coy Tatyana Grigorevna, author

Bibliographic description in the original language

Safin R, Lavrenov R, Tsoy T, Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2021. - Vol.12998 LNAI, Is.. - P.182-193.

Annotation

This paper describes a design and an implementation of a small-scale robotic transportation system, which operates in a smart hospital environment. Within a proposed framework unmanned ground vehicles (UGV) perform transportation tasks between multiple stations that are located in different rooms. The UGVs navigate in the environment with moving objects in accordance with basic traffic rules, which consider priorities of particular tasks of each UGV. UGVs' behavior is defined by a state machine and transitions between these states, which allows to make the robots' behavior more predictable and controllable. Virtual experiments were carried out in a simulation of an entire floor of a small-size hospital building using the Gazebo simulator. The experiments confirmed that using various task priorities shorten a path length of robots with high priorities and thus reduce their task execution time.

Keywords

Smart hospital, UGV, Robot navigation, Path planning, Task-based robotic system, Service robots, Leading edge healthcare

The name of the journal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116450553&doi=10.1007%2f978-3-030-87725-5_16&partnerID=40&md5=fff142566f37f54a9d807ce2bda72f4b

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=258518&p_lang=2

Resource files

File name	Size (MB)	Format
F_Prioritizing_Tasks_Within_a_Robotic_Transportation_System_for_a.pdf	2,59	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Lavrenov Roman Olegovich	ru_RU
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Coy Tatyana Grigorevna	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Safin R, Lavrenov R, Tsoy T, Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2021. - Vol.12998 LNAI, Is.. - P.182-193.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=258518&p_lang=2	ru_RU
dc.description.abstract	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	ru_RU
dc.description.abstract	This paper describes a design and an implementation of a small-scale robotic transportation system, which operates in a smart hospital environment. Within a proposed framework unmanned ground vehicles (UGV) perform transportation tasks between multiple stations that are located in different rooms. The UGVs navigate in the environment with moving objects in accordance with basic traffic rules, which consider priorities of particular tasks of each UGV. UGVs' behavior is defined by a state machine and transitions between these states, which allows to make the robots' behavior more predictable and controllable. Virtual experiments were carried out in a simulation of an entire floor of a small-size hospital building using the Gazebo simulator. The experiments confirmed that using various task priorities shorten a path length of robots with high priorities and thus reduce their task execution time.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Smart hospital	ru_RU
dc.subject	UGV	ru_RU
dc.subject	Robot navigation	ru_RU
dc.subject	Path planning	ru_RU
dc.subject	Task-based robotic system	ru_RU
dc.subject	Service robots	ru_RU
dc.subject	Leading edge healthcare	ru_RU
dc.title	Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment	ru_RU
dc.type	Articles in international journals and collections	ru_RU