2019 International Conference on Robotics and Automation (ICRA) 2019
DOI: 10.1109/icra.2019.8793602
|View full text |Cite
|
Sign up to set email alerts
|

A Fuzzy Based Accessibility Model for Disaster Environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 16 publications
(12 citation statements)
references
References 4 publications
0
12
0
Order By: Relevance
“…The LoRa transceiver which is a part of the robot, receives this information and decrypts it. Once the robot receives the location information, the same will be given as input to the FISVFH navigation algorithm [22]. The FISVFH drives the robot to the required location by avoiding all the obstacles along its path.…”
Section: Contributionsmentioning
confidence: 99%
See 2 more Smart Citations
“…The LoRa transceiver which is a part of the robot, receives this information and decrypts it. Once the robot receives the location information, the same will be given as input to the FISVFH navigation algorithm [22]. The FISVFH drives the robot to the required location by avoiding all the obstacles along its path.…”
Section: Contributionsmentioning
confidence: 99%
“…As introduced in Sect. 1.1, FISVFH is a navigation algorithm suitable for search and rescue (SAR) robots to navigate to a desired location through the devastated environment without relying on a pre-built map [22]. Once the robot started navigating to its desired location, the LoRa module on the robot will change it's mode from Mode-1 (RRx) to Mode-2 (RTx).…”
Section: Operations Performed On Lora Device During Mode-1 (Rrx)mentioning
confidence: 99%
See 1 more Smart Citation
“…The leader robot dynamically navigates to its destination using Fuzzy Inference System Vector Field Histogram (FISVFH) navigation algorithm [15,16]. FISVFH navigation algorithm is capable of navigating SAR robots through a cluttered environment, without relying on a pre-determined map.…”
Section: Robot Platoonsmentioning
confidence: 99%
“…Fuzzy sets and fuzzy logic [25] have been developed to deal with vagueness and uncertainty in a inference process of a intelligent system such as knowledge-based system, expert system or logical control system [5,8,10,18].…”
Section: Fuzzy-based System Parametersmentioning
confidence: 99%