Cloud Robotics
Cloud computing is made for the humans and more. The robots are made in the fashion to make them operate in the perfect manner. Attempts are made to connect the robots to the internet and thus one will not need to make use of additional hardware (Cardarelli et al;2017). There is improved communication and mobility. One can now know about the cloud robot and even the details of the automation systems and these are defined accordingly. The robot automation system will rely on the data or the form of code which is connected to the network to provide the best support to the process of operation. In this case, not all the sensing, memory and computation are integrated into the sort of single standalone mechanism. The definition is sure to include the set of the future mechanisms along with the several existing systems that is sure to involve the networking teleoperation and even the networking of the mobile robots like the UAVs and one can even mention about the warehouse robots (Doriya et al;2017). There are even the advanced assembly lines and one can even deal with the processing plants and even the home of the automation mechanisms along with the sort of computation being conducted by the humans. Based on the network latency, one can make use of the variable quality in service and even in matters of downtime. The individual can deal with the Cloud Robot and there are the Automation systems and these can include the capacity in case of lower grade latency (Rahman et al;2016).
There are essentialities like Cloud Robotics and Automation and these have relation to the set of new initiatives. This one can consider as The “Internet of Things”. The specific term was introduced in 2010 and there is the description how the RFID and even the inexpensive processors can highly incorporate into the massive array of the robots and there are the physical objects taken from the inventory items to add to the household appliances. Now things are allowed for perfect communication and sharing of the data. There is the term known as “Industry 4.0” (Tang et al;2016). This has been rightly introduced and used in Germany in the year 2011 and this one can readily predict the 4rth industrial revolution that makes use of the network to follow the process of production making use of water and the steam power in the first case. The same is used in the second case or the mass production and this is done by making use of the electric power. In the third case, this is used in case of the electronics to cause perfect automation of the production. This is included as part of the industrial revolutions in the year 2012. The General Electric gave birth to the term Industrial Internet and this can speak about the new efforts where the innovative industrial tools are used. These are items like jet engines, wind turbines, and the MRI machines. These are used to build network connections for the reason of sharing the data and also to process the industries and this includes transportation, energy, and even health care .
The Cloud can support the evolution of Cloud Robotics and even the Automation. These are being facilitated by human access to the several publications, datasets, benchmarks, models and even the tools used or stimulation (Manzi et al;2016). The same is also used or opening the competitions for the set of the designs and the mechanisms and it can even open the source software which stands as the primary instance in ROS. There is even the Robot Operating System and this can provide with the tools and the libraries for the reason to help the software developers construct the sort of robot applications. There is introduction of the ROS to promote the Android devices. In the process, ROS has been considered to be the standard akin in case of the Linux and this is at best used by the robot developers for the reason o researching as part of the industry. One can make use of the ROS industrial project to create and even to assist the users .
It is important to make use of the Clouds for the Robotics and it can make proper the automation system which comes with the set of new and innovative challenges (Wan et al;2016). The connectivity lies in the Cloud and with this one can enjoy both security and privacy. As part of the concept there is generation of data and this is made to happen with the efforts of the Cloud in order to connect the robots and even the sensors. This can include the video and the images and even the data taken from the private homes or from the source o the corporate trade secrets. Cloud Robotics and Automation can even provide an idea regarding the potential of the robots and the caliber of the systems for the sort of remote attacking. However, a hacker can take hold of the robot and make use of the same or unfair actions. This can lead to several damages. Research is going on at the University of Texas at the destination of Austin. Based on the research it is known that it is possible to take an illegitimate entry within the remote control UAV and this is done by means of the inexpensive GPS spoofing mechanism. The system remains responsible for evaluating the study within the Department of Homeland Security (DHS) and also the Federal Aviation Administration (FAA).These are specific concerns to raise the kind of new and effective regulation in order to handle the accountability and the set of the legal issues having relation with the concepts of safety and control and even with transparency .There is the concept of “We Robot” conference and this acts as part of the annual forum for the purpose of ethics and policy based researching (Bonaccorsi et al;2016).
From the technical point of view there are new algorithms and the set of methodologies which are required in handling time based network system along with latency and qualitative service. In the way, one can imagine the fastness in data connection and these can be wired internet connections and even wireless arrangements like LTE (Tang et al;2016) .These are used to reduce the latency but at the same time it is necessary to design the algorithms for the graceful degradation when the Cloud resources become extremely slow. At the same time they seem to be noisy and unavailable [34]. For instance the load balancing algorithms are used for the reason of speech recognition on smart phone devices and there is effective sending of the speech signal to the destination of the Cloud. This is done for internal analysis and processing and one can see the result after the possible delay. The same algorithm is needed for the operation of the robotics and even the automation system. One needs the new algorithms in order to easily scale the size of the Big Data and this includes the dirty data which is in need of the new and perfect approaches for the reason of cleaning and sampling with effectiveness. In most cases, the Cloud is used in the system of parallel-processing(Rahman et al;2016). It is important to know that the algorithms can over sample in order to handle the remote processors and this can lead to failure and delays when the result returns. This is when human computation is utilized and the algorithms are required for the reason of filtering the sort of unreliable inputs and also or balancing the costs in case of the human intervention and this can lead to the cost of the robot disaster.
References
Bonaccorsi, M., Fiorini, L., Cavallo, F., Saffiotti, A., & Dario, P. (2016). A cloud robotics solution to improve social assistive robots for active and healthy aging. International Journal of Social Robotics, 8(3), 393-408.
Chowdhury, A., Mukherjee, S., & Banerjee, S. (2017). An Approach towards Survey and Analysis of Cloud Robotics. In Detecting and Mitigating Robotic Cyber Security Risks (pp. 208-231). IGI Global.
Cardarelli, E., Digani, V., Sabattini, L., Secchi, C., & Fantuzzi, C. (2017). Cooperative cloud robotics architecture for the coordination of multi-AGV systems in industrial warehouses. Mechatronics, 45, 1-13.
Doriya, R., Sao, P., Payal, V., Anand, V., & Chakraborty, P. (2017). A review on cloud robotics based frameworks to solve simultaneous localization and mapping (slam) problem. arXiv preprint arXiv:1701.08444.
Manzi, A., Fiorini, L., Limosani, R., Sincak, P., Dario, P., & Cavallo, F. (2016, October). Use Case Evaluation of a Cloud Robotics Teleoperation System (Short Paper). In Cloud Networking (Cloudnet), 2016 5th IEEE International Conference on (pp. 208-211). IEEE.
Rahman, A., Jin, J., Cricenti, A., Rahman, A., & Yuan, D. (2016, December). A cloud robotics framework of optimal task offloading for smart city applications. In Global Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-7). IEEE.
Tang, S., Wan, J., Cai, H., & Chen, F. (2016, March). Cloud Robotics: Insight and Outlook. In International Conference on Industrial IoT Technologies and Applications (pp. 94-103). Springer International Publishing.
Wan, J., Tang, S., Yan, H., Li, D., Wang, S., & Vasilakos, A. V. (2016). Cloud robotics: current status and open issues. IEEE Access, 4, 2797-2807.