Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment

Saroj Kumar; Dayal R. Parhi; Abhishek Kumar Kashyap; Manoj Kumar Muni; Prasant Ranjan Dhal

doi:10.1007/978-981-33-4795-3_91

Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment

Saroj Kumar^*, Dayal R. Parhi, Abhishek Kumar Kashyap, Manoj Kumar Muni, Prasant Ranjan Dhal

^*Corresponding author for this work

Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal

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

7 Citations (Scopus)

Abstract

The metaheuristic optimization technique, updated sine–cosine algorithm (USCA), is basically based on the mathematical explanation of sine and cosine functions. It is applied on navigational control of mobile robot to optimize the path. The application of USCA is validated with V-Rep simulation and laboratory experiments with Khepera-III robot in an unknown environment. Robot effectively achieved the specified target without any collision. The comparative result tables show a difference in each run of robot under 5% which is considerable range of deviation in results.

Original language	English
Title of host publication	Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020
Editors	Saroj Kumar Acharya, Dipti Prasad Mishra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	989-996
Number of pages	8
ISBN (Print)	9789813347946
DOIs	https://doi.org/10.1007/978-981-33-4795-3_91
Publication status	Published - 2021
Event	International Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020 - Bhubaneswar, India Duration: 24-07-2020 → 25-07-2020

Publication series

Name	Lecture Notes in Mechanical Engineering
Volume	52
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	International Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020
Country/Territory	India
City	Bhubaneswar
Period	24-07-20 → 25-07-20

All Science Journal Classification (ASJC) codes

Automotive Engineering
Aerospace Engineering
Mechanical Engineering
Fluid Flow and Transfer Processes

Access to Document

10.1007/978-981-33-4795-3_91

Cite this

Kumar, S., Parhi, D. R., Kashyap, A. K., Muni, M. K., & Dhal, P. R. (2021). Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment. In S. K. Acharya, & D. P. Mishra (Eds.), Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020 (pp. 989-996). (Lecture Notes in Mechanical Engineering; Vol. 52). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-33-4795-3_91

Kumar, Saroj ; Parhi, Dayal R. ; Kashyap, Abhishek Kumar et al. / Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment. Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020. editor / Saroj Kumar Acharya ; Dipti Prasad Mishra. Springer Science and Business Media Deutschland GmbH, 2021. pp. 989-996 (Lecture Notes in Mechanical Engineering).

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title = "Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment",

abstract = "The metaheuristic optimization technique, updated sine–cosine algorithm (USCA), is basically based on the mathematical explanation of sine and cosine functions. It is applied on navigational control of mobile robot to optimize the path. The application of USCA is validated with V-Rep simulation and laboratory experiments with Khepera-III robot in an unknown environment. Robot effectively achieved the specified target without any collision. The comparative result tables show a difference in each run of robot under 5\% which is considerable range of deviation in results.",

author = "Saroj Kumar and Parhi, \{Dayal R.\} and Kashyap, \{Abhishek Kumar\} and Muni, \{Manoj Kumar\} and Dhal, \{Prasant Ranjan\}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020 ; Conference date: 24-07-2020 Through 25-07-2020",

year = "2021",

doi = "10.1007/978-981-33-4795-3\_91",

language = "English",

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series = "Lecture Notes in Mechanical Engineering",

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

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}

Kumar, S, Parhi, DR, Kashyap, AK, Muni, MK & Dhal, PR 2021, Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment. in SK Acharya & DP Mishra (eds), Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020. Lecture Notes in Mechanical Engineering, vol. 52, Springer Science and Business Media Deutschland GmbH, pp. 989-996, International Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020, Bhubaneswar, India, 24-07-20. https://doi.org/10.1007/978-981-33-4795-3_91

Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment. / Kumar, Saroj; Parhi, Dayal R.; Kashyap, Abhishek Kumar et al.
Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020. ed. / Saroj Kumar Acharya; Dipti Prasad Mishra. Springer Science and Business Media Deutschland GmbH, 2021. p. 989-996 (Lecture Notes in Mechanical Engineering; Vol. 52).

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

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AB - The metaheuristic optimization technique, updated sine–cosine algorithm (USCA), is basically based on the mathematical explanation of sine and cosine functions. It is applied on navigational control of mobile robot to optimize the path. The application of USCA is validated with V-Rep simulation and laboratory experiments with Khepera-III robot in an unknown environment. Robot effectively achieved the specified target without any collision. The comparative result tables show a difference in each run of robot under 5% which is considerable range of deviation in results.

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Kumar S, Parhi DR, Kashyap AK, Muni MK, Dhal PR. Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment. In Acharya SK, Mishra DP, editors, Current Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 989-996. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-33-4795-3_91

Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment

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