Development of Cloud Autonomous System for Enhancing the Performance of Robots’ Path Article Swipe
Kaushlendra Sharma
,
Rajesh Doriya
,
Sameer S. Shastri
,
Turki Aljrees
,
Kamred Udham Singh
,
Saroj Kumar Pandey
,
Teekam Singh
,
Jitendra Kumar Samriya
,
Ankit Kumar
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12030683
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12030683
With the development of computer technology and artificial intelligence (AI), service robots are widely used in our daily life. At the same time, the manufacturing cost of the robots is too expensive for almost all small companies. The greatest technical limitations are the design of the service robot and the resource sharing of the robot groups. Path planning for robots is one of the issues playing an important role in every application of service robots. Path optimization, fast computation, and minimum computation time are required in all applications. This paper aims to propose the Google Cloud Computing Platform and Amazon Web Service (AWS) platforms for robot path planning. The aim is to identify the effect and impact of using a cloud computing platform for service robots. The cloud approach shifts the computation load from robots to the cloud server. Three different path-planning algorithms were considered to find the path for robots using the Google Cloud Computing Platform, while with AWS, three different types of environments, namely dense, moderate, and sparse, were selected to run the path-planning algorithms for robots. The paper presents the comparison and analysis of the results carried out for robot path planning using cloud services with that of the traditional approach. The proposed approach of using a cloud platform performs better in this case. The time factor is crucially diagnosed and presented in the paper. The major advantage derived from this experiment is that as the size of the environment increases, the respective relative delay decreases. This proves that increasing the scale of work can be beneficial by using cloud platforms. The result obtained using the proposed methodology proves that using cloud platforms improves the efficiency of path planning. The result reveals that using the cloud computing platform for service robots can change the entire perspective of using service robots in the future. The main advantage is that with the increase in the scale of services, the system remains stable, while the traditional system starts deteriorating in terms of performance.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics12030683
- https://www.mdpi.com/2079-9292/12/3/683/pdf?version=1675999696
- OA Status
- gold
- Cited By
- 1
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318482978
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4318482978Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics12030683Digital Object Identifier
- Title
-
Development of Cloud Autonomous System for Enhancing the Performance of Robots’ PathWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-29Full publication date if available
- Authors
-
Kaushlendra Sharma, Rajesh Doriya, Sameer S. Shastri, Turki Aljrees, Kamred Udham Singh, Saroj Kumar Pandey, Teekam Singh, Jitendra Kumar Samriya, Ankit KumarList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics12030683Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/12/3/683/pdf?version=1675999696Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/12/3/683/pdf?version=1675999696Direct OA link when available
- Concepts
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Cloud computing, Robot, Computer science, Motion planning, Distributed computing, Path (computing), Computation, Service (business), Mobile robot, Real-time computing, Artificial intelligence, Simulation, Algorithm, Operating system, Economy, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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