Artificial Intelligence for Long-Term Robot Autonomy: A Survey
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322756" target="_blank" >RIV/68407700:21230/18:00322756 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/LRA.2018.2860628" target="_blank" >http://dx.doi.org/10.1109/LRA.2018.2860628</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LRA.2018.2860628" target="_blank" >10.1109/LRA.2018.2860628</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
Original language description
Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service robotics. They will assist us in our daily routines and perform dangerous, dirty, and dull tasks. However, enabling robotic systems to perform autonomously in complex, real-world scenarios over extended time periods (i.e., weeks, months, or years) poses many challenges. Some of these have been investigated by subdisciplines of Artificial Intelligence (AI) including navigation and mapping, perception, knowledge representation and reasoning, planning, interaction, and learning. The different subdisciplines have developed techniques that, when re-integrated within an autonomous system, can enable robots to operate effectively in complex, long-term scenarios. In this letter, we survey and discuss AI techniques as "enablers" for long-term robot autonomy, current progress in integrating these techniques within long-running robotic systems, and the future challenges and opportunities for AI in long-term autonomy.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ17-27006Y" target="_blank" >GJ17-27006Y: Spatio-temporal representations for life-long mobile robot navigation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Robotics and Automation Letters
ISSN
2377-3766
e-ISSN
2377-3766
Volume of the periodical
3
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
4023-4030
UT code for WoS article
000441935900005
EID of the result in the Scopus database
2-s2.0-85063304950