A Multi-objective Ions Motion Optimization for Robot Path Planning

Jeng-Shyang Pan; Trong-The Nguyen; Shu-Chuan Chu; Thi-Kien Dao; Truong-Giang Ngo

doi:10.1007/978-3-030-04792-4_8

A Multi-objective Ions Motion Optimization for Robot Path Planning

Jeng-Shyang Pan, Trong-The Nguyen, Shu-Chuan Chu, Thi-Kien Dao, Truong-Giang Ngo

College of Science and Engineering

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

4 Citations (Scopus)

Abstract

This paper proposes a novel multi-objective approach for optimal robot path planning based on Ion Motion Optimization (IMO). Two criteria are the distance to the target and smooth path that considered to optimize for the robot path planning issue. Location targets and obstacles are used to model mathematically the fitness function. Robots update information during the move because of partially unknown environment due to the limited sensors in detecting range. Simulations of the robot reached to target are implemented in different scenario environments for the optimal path. The results compared with the other methods in the literature shows that the proposed approach can provide the robot achieve to its target with collision-free obstacles, and be a competitive approach for optimal robot planning.

Original language	English
Title of host publication	Advances in Engineering Research and Application
Subtitle of host publication	Proceedings of the International Conference, ICERA 2018
Editors	Hamido Fujita, Duy Cuong Nguyen, Ngoc Pi Vu, Tien Long Banh, Hermann Horst Puta
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	46-54
Number of pages	9
ISBN (Electronic)	978-3-030-04792-4
ISBN (Print)	978-3-030-04791-7
DOIs	https://doi.org/10.1007/978-3-030-04792-4_8
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Networks and Systems
Volume	63
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Keywords

ion motion optimization
robot path planning
multi-objectives
Robot path planning
Ion Motion Optimization
Multi-objectives

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10.1007/978-3-030-04792-4_8Licence: In Copyright

https://rdcu.be/dA700Licence: In Copyright

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Pan, J.-S., Nguyen, T.-T., Chu, S.-C., Dao, T.-K., & Ngo, T.-G. (2019). A Multi-objective Ions Motion Optimization for Robot Path Planning. In H. Fujita, D. C. Nguyen, N. Pi Vu, T. Long Banh, & H. H. Puta (Eds.), Advances in Engineering Research and Application: Proceedings of the International Conference, ICERA 2018 (pp. 46-54). (Lecture Notes in Networks and Systems; Vol. 63). Springer . https://doi.org/10.1007/978-3-030-04792-4_8

Pan, Jeng-Shyang ; Nguyen, Trong-The ; Chu, Shu-Chuan et al. / A Multi-objective Ions Motion Optimization for Robot Path Planning. Advances in Engineering Research and Application: Proceedings of the International Conference, ICERA 2018. editor / Hamido Fujita ; Duy Cuong Nguyen ; Ngoc Pi Vu ; Tien Long Banh ; Hermann Horst Puta. Cham, Switzerland : Springer , 2019. pp. 46-54 (Lecture Notes in Networks and Systems).

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title = "A Multi-objective Ions Motion Optimization for Robot Path Planning",

abstract = "This paper proposes a novel multi-objective approach for optimal robot path planning based on Ion Motion Optimization (IMO). Two criteria are the distance to the target and smooth path that considered to optimize for the robot path planning issue. Location targets and obstacles are used to model mathematically the fitness function. Robots update information during the move because of partially unknown environment due to the limited sensors in detecting range. Simulations of the robot reached to target are implemented in different scenario environments for the optimal path. The results compared with the other methods in the literature shows that the proposed approach can provide the robot achieve to its target with collision-free obstacles, and be a competitive approach for optimal robot planning. ",

keywords = "ion motion optimization, robot path planning, multi-objectives, Robot path planning, Ion Motion Optimization, Multi-objectives",

author = "Jeng-Shyang Pan and Trong-The Nguyen and Shu-Chuan Chu and Thi-Kien Dao and Truong-Giang Ngo",

year = "2019",

doi = "10.1007/978-3-030-04792-4_8",

language = "English",

isbn = "978-3-030-04791-7",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer ",

pages = "46--54",

editor = "Fujita, {Hamido } and Nguyen, {Duy Cuong } and {Pi Vu}, {Ngoc } and {Long Banh}, {Tien } and Puta, {Hermann Horst }",

booktitle = "Advances in Engineering Research and Application",

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Pan, J-S, Nguyen, T-T, Chu, S-C, Dao, T-K & Ngo, T-G 2019, A Multi-objective Ions Motion Optimization for Robot Path Planning. in H Fujita, DC Nguyen, N Pi Vu, T Long Banh & HH Puta (eds), Advances in Engineering Research and Application: Proceedings of the International Conference, ICERA 2018. Lecture Notes in Networks and Systems, vol. 63, Springer , Cham, Switzerland, pp. 46-54. https://doi.org/10.1007/978-3-030-04792-4_8

A Multi-objective Ions Motion Optimization for Robot Path Planning. / Pan, Jeng-Shyang; Nguyen, Trong-The; Chu, Shu-Chuan et al.
Advances in Engineering Research and Application: Proceedings of the International Conference, ICERA 2018. ed. / Hamido Fujita; Duy Cuong Nguyen; Ngoc Pi Vu; Tien Long Banh; Hermann Horst Puta. Cham, Switzerland: Springer , 2019. p. 46-54 (Lecture Notes in Networks and Systems; Vol. 63).

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

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T1 - A Multi-objective Ions Motion Optimization for Robot Path Planning

AU - Pan, Jeng-Shyang

AU - Nguyen, Trong-The

AU - Chu, Shu-Chuan

AU - Dao, Thi-Kien

AU - Ngo, Truong-Giang

PY - 2019

Y1 - 2019

N2 - This paper proposes a novel multi-objective approach for optimal robot path planning based on Ion Motion Optimization (IMO). Two criteria are the distance to the target and smooth path that considered to optimize for the robot path planning issue. Location targets and obstacles are used to model mathematically the fitness function. Robots update information during the move because of partially unknown environment due to the limited sensors in detecting range. Simulations of the robot reached to target are implemented in different scenario environments for the optimal path. The results compared with the other methods in the literature shows that the proposed approach can provide the robot achieve to its target with collision-free obstacles, and be a competitive approach for optimal robot planning.

AB - This paper proposes a novel multi-objective approach for optimal robot path planning based on Ion Motion Optimization (IMO). Two criteria are the distance to the target and smooth path that considered to optimize for the robot path planning issue. Location targets and obstacles are used to model mathematically the fitness function. Robots update information during the move because of partially unknown environment due to the limited sensors in detecting range. Simulations of the robot reached to target are implemented in different scenario environments for the optimal path. The results compared with the other methods in the literature shows that the proposed approach can provide the robot achieve to its target with collision-free obstacles, and be a competitive approach for optimal robot planning.

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KW - robot path planning

KW - multi-objectives

KW - Robot path planning

KW - Ion Motion Optimization

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SN - 978-3-030-04791-7

T3 - Lecture Notes in Networks and Systems

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BT - Advances in Engineering Research and Application

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Pan JS, Nguyen TT, Chu SC, Dao TK, Ngo TG. A Multi-objective Ions Motion Optimization for Robot Path Planning. In Fujita H, Nguyen DC, Pi Vu N, Long Banh T, Puta HH, editors, Advances in Engineering Research and Application: Proceedings of the International Conference, ICERA 2018. Cham, Switzerland: Springer . 2019. p. 46-54. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-04792-4_8

A Multi-objective Ions Motion Optimization for Robot Path Planning

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