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Project Description

Describe about the Cloud Computing in Robotics for Second Party Infrastructure.

 

Cloud computing is the use of second party infrastructure for various computing options. The cloud computing allows sharing of the hardware that helps in better utilization of resources, thus saving computing costs involved for the installation of dedicated software. Also the real time sharing of data ensures better connectivity and data sharing between the nodes. Robotics is use of mechanized automatic machines for easing the human tasks. So it can be understood that the cloud in robotics deals with the interconnected robots that are connected to a based server and can share the data in real time for serving the purpose (Nagrath et al.  2013). In this case, the bots (robots) will be connected to the cloud services that are provided by Nectar Cloud environment. The bots that are light weight mobile robots will be equipped with the RGB-D cameras and the communication devices for internet connectivity for sharing the data with the other bots and these data will be used on the cloud platform itself for dynamic mapping of the environment (Kehoe et al. 2015). Since mapping the environment is a difficult task hence multiple robots are used for the mapping the different section of the environment, the data will be shared and will be made available on the cloud, where the data will be analyzed to generate the 3D map of the environment. For this purpose the bots will be programmed with situational awareness which will be driven by the intelligent sensors and distributed reconnaissance, etc.

The cloud robotics is the stream in which the robotics are implemented with the help of the cloud services like cloud computing, storage, etc. this combination will impart various features that are available for robots and the cloud services (Koken 2015). Since the computation on premise is totally reduced, the robots that are developed is lighter compared to the others, also the on premise computation introduces many complex computation during the compilation of the data. The cloud services enable the data to be retrieved in real time and can be compared with the other bots thus making is much more effective compared to the other systems (Agostinho et al. 2011). For implementation of the system, the mobile bots have been designed that can communicate continuously for 3D mapping of the environment. The mapping is done with the help of advanced sensors that are installed in the system. The multiple robotic systems that has been created interacts in real time to generate the data.

Project Aim

This project is mainly aimed to demonstrate the advantages of the cloud robotics over the huge computing process. Along with that, this project is also aimed to explore the environmental issue with the cloud robotics and to identify the benefits of the future robotics applications in regards to the cloud robotics over the traditional networked robots.

The objective is to offloading the mechanism of calculation from the customer and giving access to the constant server. The mass of the robots can be reduced by the movement of data processing procedure into the cloud environment.

The wireless communication technology has given a large amount of mobility to the present technology (Rudas 2012). The cloud technology has enabled a scope of better communication between the robots and the autonomous systems, which will relieve the systems of the onboard computations, thus making the systems independent of the hardware peripherals like the memory, also reducing the amount of computations and the programming involved for the onboard computations (Goldberg and Kehoe 2013). The surveys that have been done by the authors have also presented the works that have been done previously on empowering the machines by better communication among the machines. In their paper Hu Tay and Wen (2012) have also presented a similar view on the impact of better communication on the machines. The authors state that the cloud presents various advantages on the system which are namely the big data, which allows better access to the various online resources thus allowing better information availability (Gherardi, Hunziker and Mohanarajah 2014). Cloud computing which enable an online platform which can be used as a substitute to the traditional onboard communication system (Kehoe et al. 2013). Also the collective learning of the robots will also make the learning more intensive making the system more versatile compared to the standalone system. Better human interaction has also been possible with the help of the technologies thus helping in better tapping of the human skills. Turnbull and Samanta (2013) in their paper present the creation of a multiple robot system that is controlled by the formation control over a cloud network. For the implementation of the system a single virtual machine was created on a local cloud and robots with minimal hardware was created. The authors Alamo Benito and Carranza (2013) in their paper have discussed the architecture that could be used for the mobile cloud robotics. The authors have explained the implementation of the cloud platform for the implementation of the robotic systems, they state that the cloud platform reduces the computational hardware that were needed for the analyzing the data. Since every device can be connected to the internet, they can be used for collecting the huge amount of data can be used for Big Data and usable information can be retrieved from them. Kamei et al. (2012) have worked in a novel project to develop a network for the robots that is based on the cloud technology that will be used by the elderly people. Since a standalone system introduces a huge amount of pressure on the device, hence the cloud technology has been proposed thus making the system more versatile as the devices can be switched off according to the needs without affecting the performance of the system (Guizzo and Deyle 2012). In this paper the authors have discussed the current status and the open issues have been discussed in detail, as the emergence of the technologies as the cloud computing and big data present a huge potential to deal with the various issues (Ren 2012). The authors state that the technologies can be used for various novel projects which will help in improving the human life. In this aspect the author have presented the issues related to the technology and the possible solutions to it (Wan et al. 2016). Thus it can be seen that the authors of various literature have presented the scope of the project which can be implemented for solving issues.

Project Objectives

The popularity of the service robots have been increased very rapidly from the last decade. The robots are implemented in terms of helping the human beings in their daily life schedule (Mohanarajah et al. 2015). The Cloud Robotics is nothing but the field of robotics that makes an attempt for invoking the cloud computing like cloud storage, cloud computing as well as the other internet technologies those are centred on the advantages of the shared services as well as converged infrastructure for robotics (Liu et al. 2014). The robots can benefits from the potential communications, storage as well as the computational resources of the modern data centre in the loud while connected to the cloud (Agüero and Veloso 2012). Human beings can easily delegate jobs towards the robots through the networks remotely (Chen et al. 2013). The technologies of cloud computing can make enable the robot systems to be endowed with the potential ability during the reduction of the costs with the help of the cloud technologies (Wang and Meng 2012). Therefore, it is possible for building the smarter, low cost as well as lightweight robots have the intelligent brain in the cloud. There are six important as well as major components of cloud for robotics. The most popular cloud robotics project is the Distributed agent with Collective Intelligence (Rusu and Cousins 2011). Cloud Robotics have several future robotic applications. These future applications can hugely benefit from the cloud robotics that give several advantages over the contemporary networked robots (Kato et al. 2011). One of those benefits is the capability of offloading the tasks those are computation intensive towards the cloud. Only the robots require keeping essential actuators, sensors as well as the fundamental processing power in terms of enabling the real time actions (Tenorth et al. 2013). Apart from that, in this scenario, the robotic platform becomes less expensive as well as lighter and the battery life is extended with easier for maintaining hardware. Apart from that, another significant future robotic application is the capability of accessing the huge amount of data.

For implementation of the system, the mobile bots have been designed that can communicate continuously for 3D mapping of the environment. The mapping is done with the help of advanced sensors that are installed in the system. The multiple robotic systems that have been created interacts in real time to generate the data. It is a very important point that the robots can easily acquire the knowledge as well as the information in terms of executing tasks with the help of the databases in the cloud (Doriya, Chakraborty and Nandi 2012). Therefore, they don’t need to operate with the maintenance as well as the creation or the implementation of such data (Ferraté 2013). Besides that, another important as well as the significant future application of the cloud robotics is simply the potential for accessing to the shared knowledge as well as the new skills (Dhiyanesh 2012). This is because, the cloud gives a medium towards the robots for sharing information as well as learning new knowledge and skills from each other (Jordán et al. 2013). Therefore, the cloud can simply host the library or the database of behaviours or skills that can map to the distinct environmental complications as well as the requirements of the tasks (Rastkar et al. 2012). Due to the advantages of the applications, the robotics in the cloud environment has a wide range of essential applications in the computation intensive or the data intensive tasks in the areas of environment monitoring, defence, education, entertainment, smart home, health care as well as the intelligent transportation (Proia, Simshaw and Hauser 2015). The most significant fact is that the cloud technology has enabled the scope of better communication between the robots and the autonomous systems, which will relieve the systems of the onboard computations, thus making the systems independent of the hardware peripherals like the memory, also reducing the amount of computations and the programming involved for the onboard computations (Guizzo 2011). Therefore, in order to provide the proper evidences, the researcher has conducted a survey among fifty people who are working in the cloud or he cloud robotics environment. This research has also presented the works that have been done previously on empowering the machines by better communication among the machines.

Literature Review

How far do you think that Cloud Robotics is advantageous for the huge computing process? (Referred to Appendix 1)

During conducting the entire survey, the researcher reached to the proper finding as well as the result of this particular research. While the question was raised to the participants whether the cloud robotics is advantageous in terms of accomplishing the huge computing process then most of the respondents have given the positive response as their answers of this particular question. According to the graphical representation plotted above, it can be seen that 40 % of the respondents have been agreed to the question asked to them. The cloud computing has several advantages over the huge computing processes. Thus most of the respondents have been agreed to this particular question simply because of the fact that the distributed agent with collective intelligence (DAVANCI) gives the large area mapping as well as localization along with it towards the huge process of computing. In case of collective intelligence, it is the group or shared intelligence that emerges from the competition, collective efforts as well as collaboration of several individuals and appears in the consensus decision making process. On the other hand, the distributed collective intelligence can be referred to the utility of the number of the simple agents for producing collectively the intelligent behaviour. These particular agents can easily generate the self organized system that has no centralized control structure by implementing them distributed. Apart from that, every different individual agent has the simple protocols which govern its local behaviours. Besides that, these simple local communications between agents as well as with the environment spawn more complicated international behaviours.

2. How far do you think that environmental security is the significant issue of the cloud robotics? (Referred to Appendix 2)

During conducting the entire survey, the researcher reached to the proper finding as well as the result of this particular research. While the question was raised to the participants whether the environmental security is one of the major issues of the cloud robotics then most of the respondents have given the positive response as their answers of this particular question. According to the graphical representation plotted above, it can be seen that 62 % of the respondents have been agreed to the point of the question asked to them. This is simply because, the users as well as the concentration of the resources of computing in the environment of the cloud computing can easily represents the concentration of the threats of the security attacks. On the other hand, the most of the respondents have been agreed with the fact that the environments of cloud are often targeted due to their significance as well as the size by the brute force attacks, bot malware and the virtual machines as well as the other kinds of security attacks or threats.

Project Implementation

3. How far do you think that the cloud robotics has several applications in several different fields of Operations? (Referred to Appendix 3)

During conducting the entire survey, the researcher reached to the proper finding as well as the result of this particular research. While the question was raised to the participants regarding the applications of the cloud robotics then most of the respondents have given the positive response as their answers of this particular question. According to the graphical representation plotted above, it can be seen that 60 % of the respondents have been agreed to the point of the question asked to them. The three major applications of the cloud robotics are the autonomous mobile robots, industrial robots as well as the cloud medical robots. In case of the autonomous cars, the cloud robots are the self driving cars of Google. The cars utilize the networks in terms of accessing the enormous database of maps and the environment as well as the satellite model of Google and make a combination with data streaming from GPS as well as the 3D sensors for monitoring its position within the centimetres and with current as well as past patterns of traffic for avoiding collisions. On the other hand, in case of the cloud medical robots, the medical cloud is comprised of several services like clinic solutions, analytics services, practice service, a patient health management system, electronic medical records, disease archive and many others. Apart from that, few cloud based robot systems can easily learn the process of handling the tasks like threading cables or wires or aligning gaskets from the basis of the professional knowledge. Such a group of robots can effectively share the details or information for few tasks those are collaborative in nature. On the other hand, a consumer even more is capable of ordering the customized product in terms of manufacturing directly the robots with the system of ordering via online.

4. How far do you think that Nectar Cloud Services provide the flexible scalable computing power? (Referred to Appendix 4)

While conducting the entire survey, the researcher reached to the proper finding as well as the result of this particular research. While the question was raised to the participants regarding the features of the Nectar Cloud Services then most of the respondents have given the positive response as their answers of this particular question. According to the graphical representation plotted above, it can be seen that 66 % of the respondents have been agreed to the point of the question asked to them. Their positive responses clearly states that Nectar Cloud Services give the computing power, which scalable as well as flexible enough to all the researchers of Australia with the computing services, software as well as infrastructure that permit the research community for running, accessing and storing data autonomously, rapidly as well as remotely. On the other hand, another significant point in association with this particular feature of the Nectar Cloud Services is that the structure of the Nectar cloud self service permits efficient, fast desktop access to the data as well as the potential collaboration platform. The robots that were planned for the process each were embedded with smart sensors that gave the bots their senses for deciding the course of action for each bots, which communicates with each other with the help of internet.

Project Implementation Techniques

5. How far do you think that the future robotic applications would greatly benefit from the cloud robotics that provide the benefits over the traditional networked robots? (Referred to Appendix 5)

While conducting the entire survey, the researcher reached to the proper finding as well as the result of this particular research. While the question was raised to the participants regarding the future applications of the Cloud Robotics then most of the respondents participated in the survey have given the positive response as their answers of this particular question. According to the graphical representation plotted above, it can be seen that 66 % of the respondents have been agreed to the point of the question asked to them. This is simply because of the fact that there are several advantages those can be got from the future robotic applications. One of those benefits of the capability of offloading the tasks those are computation intensive towards the cloud. Only the robots require to keep essential actuators, sensors as well as the fundamental processing power in terms of enabling the real time actions. On the other hand, in this scenario, the robotic platform becomes less expensive as well as lighter and the battery life is extended with easier for maintaining hardware. Apart from that, another significant future robotic application is the capability of accessing the huge amount of data. It is a very important point that the robots can easily acquire the knowledge as well as the information in terms of executing tasks with the help of the databases in the cloud. Therefore, they don’t need to operate with the maintenance as well as the creation or the implementation of such data. Besides that, another important as well as the significant future application of the cloud robotics is simply the potential for accessing to the shared knowledge as well as the new skills. This is because, the cloud gives a medium towards the robots for sharing information as well as learning new knowledge and skills from each other. Therefore, the cloud can simply host the library or the database of behaviours or skills that can map to the distinct environmental complications as well as the requirements of the tasks.

Quantitative or Qualitative – In terms of conducting this entire research both of the descriptive as well as the exploratory study had been undertaken in terms of summoning this particular research work. Therefore, the exploratory study has mainly assisted to the best deal with the issues those adhere the part of the topic of this particular research that is the cloud robotics. On the other hand, during the descriptive study aided for describing the characteristics of the variables those were incorporated in this particular scenario. Thus, this particular research or study consists of both of the quantitative as well as the qualitative data.

Sources of data – the data sources or the sources of the information for this particular research which is based on the cloud robotics were mainly of types of sources such as the secondary as well as the primary sources of collecting data. Therefore, getting the survey filled was that approach in terms of collecting data for this particular research. At the time of the conduction of the secondary tool of information was mainly based on the internet, magazines as well as the newspaper.

Questionnaire or the Survey - The questionnaire or the survey arranged among few participants was the less expensive way with the help of which the updated data can be easily collected regarding the topic. On the other hand, the appeal of the survey or the questionnaire can be wide as the other collection’s medium. Apart from that, it has simply permitted the most feasible approach or the path for approaching towards the huge number of people for getting the statistical analysis of the outcomes. On the other hand, the questions those were made in a well designed manner could not only aid for collecting the data of an individual. However, it also helped in terms of analyzing the data in the most effective as well as with the help of the best manner regarding the provided topic of this particular research that is the cloud robotics. Well managed questions are also able to help the readers in terms of depicting the image of minds of people about the society as well as the culture under the providing subject or the topic as well.

Improvement of the Testing Process - In order to examine the results of this research, the Likert Scale process is necessary and it is important in this scenario. On the other hand, however, the SPSS as well as the other simulated tools can also be utilized in terms of taking out the proper outcomes of the research. Nevertheless, the sampling of the aforementioned outcomes is not also so much unique but it s still reliable as well as feasible. Therefore, it is the process of Survey or questionnaire with the help of which the researcher can easily get the outcomes of the research.

Project Plan and Deliverables

No of WEEK

Scheduling of the task

1st week

Seeking of time from the supervisor of this particular project

2nd week

The topic of cloud computing in the mobile robotics should be evaluated carefully

3rd week

Proposal for the project should be submitted

4th week

Collection of feedback as well as the comments about the topic

5th week

      Collection of the data as well as the research work for the proposed topic of robotics in the cloud

6th week

Finalization of the report as well as the documentation

7th  week

Submission of the mid semester report

8th week

Preparation of the feedback report

9th week

Analyzing the final data through questionnaire

10th week

Documentation should be prepared on detailed description

11th week

Organization of the entire work as well as the preparation of the final

12th week

Finalization of the presentation as well as the practice of delivering the presentation

13th week

Submission of the final report as well as the oral presentation

Week 1 - Seeking of time from supervisor of the project

In this week the discussion should takes place with the supervisor for the tools, the infrastructure, operating system, and others used in the development of the robotics based on cloud computing.

Week 2 - The topic of cloud computing in mobile robotics should be evaluated carefully

The topic should be modularize and distributed among the team member for carrying out their work by keeping aim and objective of the proposal. In this week only background and methodology should also be prepared.

Week 3 - Proposal for the project should be submitted

After the completion of the aim, objective, background, description, and methodology the proposal should be submitted.

Week 4 - Collection of feedback and comments about the topic

After the submission of the proposal to the supervisor, wait for the response from the supervisor in the form of comments and feedback.

Week 5 - Collection of the data and research work for the proposed topic of robotics in the cloud

The collected data, comments and feedback helps in preparing the final midterm report on the topic of robotics in cloud computing

Week 6 - Finalization of the report and documentation

The development of future plans should takes place about research the topic. Simultaneously, the preparation of presentation should takes place.

Week 7 - Submission of the mid semester report

The report of midterm semester should be submitted to the supervisor.

Week 8 - Preparation of the feedback report

The supervisor should provide the feedback on the submitted report of midterm semester for doing modification in the proposed report before the submission of the final report.

Week 9 - Analyzing the final data through questionnaire

Minimum of 10 questions should be prepared for questionnaire to analyze the data. The question should be well defined which covers all the topic and areas of the report

Week 10 - Documentation should be prepared on detailed description

The data collected by the questionnaire on the proposed topic should be synchronized and organized in the form of diagrams and flowchart.

Week 11 - Organization of the entire work and preparation of the final

Finalization of the report and organization of the presentation should takes place in this week for analyzing the result of research clearly in the form of facts and figures.

Week 12 - Finalization of the presentation as well as the practice of delivering the presentation

For the perfection in the oral presentation, the report should be practiced thoroughly.

Week 13 - Submission of the final report as well as the oral presentation

After preparing the final report, it should be submitted to the supervisor.

Conclusion

The entire survey conducted among the employees who are engaged with the implementation of the cloud robotics operations has successfully reached all the objectives set for the implementation of this project. According to the result of the survey, it can easily be stated that the distributed agent with collective intelligence (DAVANCI) gives the large area mapping as well as localization along with it towards the huge process of computing (Referred to Appendix 1). On the other hand, this survey has played a crucial role to establish the fact that the users as well as the concentration of the resources of computing in the environment of the cloud computing can easily represent the concentration of the threats of the security attacks (Referred to Appendix 2). Moreover, this report has also successfully identified three major applications of the cloud robotics such as autonomous mobile robots, industrial robots as well as the cloud medical robots with the help of the entire survey conducted among the employees who are involved in the cloud robotics field (Referred to Appendix 3).  In case of the autonomous cars, the cloud robots are the self driving cars of Google. The cars utilize the networks in terms of accessing the enormous database of maps and the environment as well as the satellite model of Google and make a combination with data streaming from GPS as well as the 3D sensors for monitoring its position within the centimetres and with current as well as past patterns of traffic for avoiding collisions. Most importantly, this report has successfully explored the fact that Nectar Cloud Services give the computing power, which scalable as well as flexible enough to all the researchers of Australia with the computing services, software as well as infrastructure that permit the research community for running, accessing and storing data autonomously, rapidly as well as remotely (Referred to Appendix 4).

References

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Agüero, C. and Veloso, M., 2012. Transparent multi-robot communication exchange for executing robot behaviors. In Highlights on Practical Applications of Agents and Multi-Agent Systems (pp. 215-222). Springer Berlin Heidelberg.

Álamo, J.R., Benito, M. and Carranza, A., 2013. Towards An Architecture for Mobile Cloud Robotics.

Chen, M., Ma, Y., Ullah, S., Cai, W. and Song, E., 2013, September. ROCHAS: robotics and cloud-assisted healthcare system for empty nester. In Proceedings of the 8th international conference on body area networks(pp. 217-220). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

Dhiyanesh, B., 2012, December. Dynamic resource allocation for machine to cloud communications robotics cloud. In Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on (pp. 451-454). IEEE.

Doriya, R., Chakraborty, P. and Nandi, G.C., 2012, December. Robotic services in cloud computing paradigm. In Cloud and Services Computing (ISCOS), 2012 International Symposium on (pp. 80-83). IEEE.

Ferraté, T., 2013. Cloud Robotics-new paradigm is near. Robotica Educativa y Personal (January 20, 2013).

Gherardi, L., Hunziker, D. and Mohanarajah, G., 2014, June. A Software Product Line Approach for Configuring Cloud Robotics Applications. In 2014 IEEE 7th International Conference on Cloud Computing (pp. 745-752). IEEE.

Goldberg, K. and Kehoe, B., 2013. Cloud robotics and automation: A survey of related work. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2013-5.

Guizzo, E. and Deyle, T., 2012. Robotics trends for 2012. IEEE Robotics & Automation Magazine, 19(1), pp.119-123.

Guizzo, E., 2011. Robots with their heads in the clouds. IEEE Spectrum, 3(48), pp.16-18.

Hu, G., Tay, W.P. and Wen, Y., 2012. Cloud robotics: architecture, challenges and applications. IEEE Network, 26(3), pp.21-28.

Jordán, S., Haidegger, T., Kovács, L., Felde, I. and Rudas, I., 2013, July. The rising prospects of cloud robotic applications. In Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on (pp. 327-332). IEEE.

Kamei, K., Nishio, S., Hagita, N. and Sato, M., 2012. Cloud networked robotics. IEEE Network, 26(3), pp.28-34.

Kato, Y., Izui, T., Tsuchiya, Y., Narita, M., Ueki, M., Murakawa, Y. and Okabayashi, K., 2011, November. RSi-cloud for integrating Robot Services with internet services. In IECON 2011-37th Annual Conference on IEEE Industrial Electronics Society (pp. 2158-2163). IEEE.

Kehoe, B., Matsukawa, A., Candido, S., Kuffner, J. and Goldberg, K., 2013, May. Cloud-based robot grasping with the google object recognition engine. In Robotics and Automation (ICRA), 2013 IEEE International Conference on(pp. 4263-4270). IEEE.

Kehoe, B., Patil, S., Abbeel, P. and Goldberg, K., 2015. A survey of research on cloud robotics and automation. IEEE Transactions on Automation Science and Engineering, 12(2), pp.398-409.

Koken, B., 2015. Cloud Robotics Platforms. Interdisciplinary Description of Complex Systems, 13(1), pp.26-33.

Liu, B., Chen, Y., Hadiks, A., Blasch, E., Aved, A., Shen, D. and Chen, G., 2014. Information fusion in a cloud computing era: a systems-level perspective. IEEE Aerospace and Electronic Systems Magazine, 29(10), pp.16-24.

Mohanarajah, G., Usenko, V., Singh, M., D'Andrea, R. and Waibel, M., 2015. Cloud-based collaborative 3D mapping in real-time with low-cost robots. IEEE Transactions on Automation Science and Engineering, 12(2), pp.423-431.

Nagrath, V., Morel, O., Malik, A., Saad, N. and Meriaudeau, F., 2013, November. Agent driven peer-to-peer cloud robotics. In Cloud robotics workshop, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013). https://? www.? roboearth.? org/? iros2013. Tokyo Big Sight, Japan.

Proia, A.A., Simshaw, D. and Hauser, K., 2015. Consumer cloud robotics and the fair information practice principles: Recognizing the challenges and opportunities ahead.

Rastkar, S., Quintero, D., Bolivar, D. and Tosunoglu, S., 2012, May. Empowering robots via cloud robotics: image processing and decision making boeBots. In Florida Conference on Recent Advances in Robotics, Boca Raton, Florida.

Ren, F., 2012, November. Robotics cloud and robotics school. In Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on (pp. 1-8). IEEE.

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