2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2021
DOI: 10.1109/ipdpsw52791.2021.00091
|View full text |Cite
|
Sign up to set email alerts
|

Autonomous Mobile Robots: Refining the Computational Landscape

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
2
2

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(8 citation statements)
references
References 19 publications
0
8
0
Order By: Relevance
“…These theorems hold assuming rigidity and chirality and these results are extended and they hold without rigidity and chirality [5].…”
Section: Computational Relationshipsmentioning
confidence: 70%
“…These theorems hold assuming rigidity and chirality and these results are extended and they hold without rigidity and chirality [5].…”
Section: Computational Relationshipsmentioning
confidence: 70%
“…In [2], the previous work of characterizing the relations between the robot models and three type of schedulers was continued. The authors provided a more refined map of the computational landscape for robots operating under fully synchronous and semi-synchronous schedulers, by removing the assumptions on robots' movements of rigidity and common chirality.…”
Section: Related Workmentioning
confidence: 99%
“…In recent times, exhaustive investigation has also been done [2,8] about the issues of memory persistence and communication capability, have on the solvability of a problem and computational capability of a system. In light of these facts, four models have been identified and investigated, OBLOT , LUMI, FST A and FCOM.…”
Section: Introductionmentioning
confidence: 99%
“…Along with the application studies in the robotics and electronics fields [1][2][3][4][5], computer science research has attempted to design theoretical models [6][7][8][9][10] which best formalize and simulate generic distributed systems, and to study efficient algorithms for some primitive tasks. Such an analytical investigation aims at providing a rigorous and universal methodology to study the collaborative strategies for mobile multi-agent systems [10][11][12][13], model peculiar realworld scenarios [14][15][16], prove and analyze the correctness of algorithmic solutions [17,18], and investigate their computational complexity [19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Different model assumptions are considered, affecting the computational power of robots [19,[21][22][23]. Generally, robots are assumed to be point-like, anonymous (without any distinct identifiers yielding the ability to distinguish one robot from another), and oblivious (without any persistent memory).…”
Section: Introductionmentioning
confidence: 99%