A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments

Rituraj Bhattacharjee; Subhradip Mukherjee; Siddhanta Borah

doi:10.1007/978-981-97-5866-1_13

A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments

Rituraj Bhattacharjee^*
, Subhradip Mukherjee
, Siddhanta Borah

^*Corresponding author for this work

Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Electroencephalogram (EEG)-based mobile robots can be powerful everyday aids for persons with severe disabilities, especially if they need assistance in moving voluntarily. With the amalgamation of EEG signal processing, artificial intelligence algorithm and mobile robotics trajectory planning, it is possible to drive a mobile robot using noninvasively recorded brain activity. In this research work, with the help of MATLAB simulations, mobile robot path navigation has been shown where the target location was retrieved using EEG signal data processing. A fuzzy logic controller has been designed and presented to conduct the obstacle avoidance mechanism based on fuzzy logic. The fuzzy logic approach has been made functional with 25 sets of rules, dictating the movement positions. The autonomous navigation system uses this position to direct the mobile robot to the intended place while avoiding collisions with outside barriers. This approach could prove very useful in effective mobile robot path planning in brand new and unpredictable situations.

Original language	English
Title of host publication	Control and Information Sciences - Select Proceedings of CISCON 2023
Editors	I. Thirunavukkarasu, Roshan Kumar
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	165-176
Number of pages	12
ISBN (Print)	9789819758654
DOIs	https://doi.org/10.1007/978-981-97-5866-1_13
Publication status	Published - 2024
Event	Control Instrumentation System Conference, CISCON 2023 - Manipal, India Duration: 06-10-2023 → 07-10-2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1236 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Control Instrumentation System Conference, CISCON 2023
Country/Territory	India
City	Manipal
Period	06-10-23 → 07-10-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-97-5866-1_13

Cite this

Bhattacharjee, R., Mukherjee, S., & Borah, S. (2024). A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments. In I. Thirunavukkarasu, & R. Kumar (Eds.), Control and Information Sciences - Select Proceedings of CISCON 2023 (pp. 165-176). (Lecture Notes in Electrical Engineering; Vol. 1236 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-5866-1_13

Bhattacharjee, Rituraj ; Mukherjee, Subhradip ; Borah, Siddhanta. / A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments. Control and Information Sciences - Select Proceedings of CISCON 2023. editor / I. Thirunavukkarasu ; Roshan Kumar. Springer Science and Business Media Deutschland GmbH, 2024. pp. 165-176 (Lecture Notes in Electrical Engineering).

@inproceedings{7ae9fa89eba540d0925cf88549e766a4,

title = "A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments",

abstract = "Electroencephalogram (EEG)-based mobile robots can be powerful everyday aids for persons with severe disabilities, especially if they need assistance in moving voluntarily. With the amalgamation of EEG signal processing, artificial intelligence algorithm and mobile robotics trajectory planning, it is possible to drive a mobile robot using noninvasively recorded brain activity. In this research work, with the help of MATLAB simulations, mobile robot path navigation has been shown where the target location was retrieved using EEG signal data processing. A fuzzy logic controller has been designed and presented to conduct the obstacle avoidance mechanism based on fuzzy logic. The fuzzy logic approach has been made functional with 25 sets of rules, dictating the movement positions. The autonomous navigation system uses this position to direct the mobile robot to the intended place while avoiding collisions with outside barriers. This approach could prove very useful in effective mobile robot path planning in brand new and unpredictable situations.",

author = "Rituraj Bhattacharjee and Subhradip Mukherjee and Siddhanta Borah",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; Control Instrumentation System Conference, CISCON 2023 ; Conference date: 06-10-2023 Through 07-10-2023",

year = "2024",

doi = "10.1007/978-981-97-5866-1\_13",

language = "English",

isbn = "9789819758654",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "165--176",

editor = "I. Thirunavukkarasu and Roshan Kumar",

booktitle = "Control and Information Sciences - Select Proceedings of CISCON 2023",

address = "Germany",

}

Bhattacharjee, R, Mukherjee, S & Borah, S 2024, A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments. in I Thirunavukkarasu & R Kumar (eds), Control and Information Sciences - Select Proceedings of CISCON 2023. Lecture Notes in Electrical Engineering, vol. 1236 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 165-176, Control Instrumentation System Conference, CISCON 2023, Manipal, India, 06-10-23. https://doi.org/10.1007/978-981-97-5866-1_13

A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments. / Bhattacharjee, Rituraj; Mukherjee, Subhradip; Borah, Siddhanta.
Control and Information Sciences - Select Proceedings of CISCON 2023. ed. / I. Thirunavukkarasu; Roshan Kumar. Springer Science and Business Media Deutschland GmbH, 2024. p. 165-176 (Lecture Notes in Electrical Engineering; Vol. 1236 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments

AU - Bhattacharjee, Rituraj

AU - Mukherjee, Subhradip

AU - Borah, Siddhanta

PY - 2024

Y1 - 2024

N2 - Electroencephalogram (EEG)-based mobile robots can be powerful everyday aids for persons with severe disabilities, especially if they need assistance in moving voluntarily. With the amalgamation of EEG signal processing, artificial intelligence algorithm and mobile robotics trajectory planning, it is possible to drive a mobile robot using noninvasively recorded brain activity. In this research work, with the help of MATLAB simulations, mobile robot path navigation has been shown where the target location was retrieved using EEG signal data processing. A fuzzy logic controller has been designed and presented to conduct the obstacle avoidance mechanism based on fuzzy logic. The fuzzy logic approach has been made functional with 25 sets of rules, dictating the movement positions. The autonomous navigation system uses this position to direct the mobile robot to the intended place while avoiding collisions with outside barriers. This approach could prove very useful in effective mobile robot path planning in brand new and unpredictable situations.

AB - Electroencephalogram (EEG)-based mobile robots can be powerful everyday aids for persons with severe disabilities, especially if they need assistance in moving voluntarily. With the amalgamation of EEG signal processing, artificial intelligence algorithm and mobile robotics trajectory planning, it is possible to drive a mobile robot using noninvasively recorded brain activity. In this research work, with the help of MATLAB simulations, mobile robot path navigation has been shown where the target location was retrieved using EEG signal data processing. A fuzzy logic controller has been designed and presented to conduct the obstacle avoidance mechanism based on fuzzy logic. The fuzzy logic approach has been made functional with 25 sets of rules, dictating the movement positions. The autonomous navigation system uses this position to direct the mobile robot to the intended place while avoiding collisions with outside barriers. This approach could prove very useful in effective mobile robot path planning in brand new and unpredictable situations.

UR - https://www.scopus.com/pages/publications/85209886816

UR - https://www.scopus.com/pages/publications/85209886816#tab=citedBy

U2 - 10.1007/978-981-97-5866-1_13

DO - 10.1007/978-981-97-5866-1_13

M3 - Conference contribution

AN - SCOPUS:85209886816

SN - 9789819758654

T3 - Lecture Notes in Electrical Engineering

SP - 165

EP - 176

BT - Control and Information Sciences - Select Proceedings of CISCON 2023

A2 - Thirunavukkarasu, I.

A2 - Kumar, Roshan

PB - Springer Science and Business Media Deutschland GmbH

T2 - Control Instrumentation System Conference, CISCON 2023

Y2 - 6 October 2023 through 7 October 2023

ER -

Bhattacharjee R, Mukherjee S, Borah S. A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments. In Thirunavukkarasu I, Kumar R, editors, Control and Information Sciences - Select Proceedings of CISCON 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 165-176. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-5866-1_13

A Fuzzy Logic Controller for Path Navigation of Brain-Controlled Mobile Robots in Complex Simulated Environments

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this