Why You Should Be Analyzing Robot Data in the Cloud
Go West Team
Cloud Robotics has come a long way since Dr. James Kuffner of Carnegie Mellon University introduced the term a decade back to envision merging network-connected robots with cloud computing. The objective was to help robots benefit from the computation and storage capacities of advanced data centers and perform more intelligently and powerfully.
Modern robots are no longer confined by their in-built resources. Instead, they share and utilize technologies such as cloud computing, cloud storage, big data and IOTs with other machines and human users to execute their tasks faster and more efficiently than ever before.
But how do you integrate your present robotics services in the cloud?
And when integrated, what are your options for collecting data remotely?
Are there any real benefits of analyzing robot data in the cloud?
This article explores and answers all your questions.
How to Integrate Your Current Services in the Cloud
A cloud robotics environment that accommodates robots, smart devices and software services is usually dependent upon:
- The operations and hardware capacity of the robots
- A middleware that controls the interaction between the robots and cloud services
- The application services that offer interfaces to be accessed by the robots
There are quite a few tools and services that one would need to develop a cloud-based infrastructure for their robots.
Here is how you can make an informed choice when creating a backend for your robots:
1. Choosing the Right Cloud Service Provider
The cloud service is the basic structure that supports all your operations. It’s imperative to select a provider that offers seamless deployment of new services or removal of existing ones. The cloud service should also enable development of new functionalities based on future needs. And obviously, it should be compatible with all the robots in the sharing environment.
2. Cost of Bandwidth
Since robots are dynamic in nature, reliable connectivity is critical for their functioning. This means your bandwidth could come at a significant cost. You should estimate your data requirements and uptime assurance to make sure your solution is cost-effective.
With so much sensitive information passing between systems and increasing threats of DDoS attacks, security cannot be compromised in a cloud-based robotics environment. A robust security application should authenticate all user and robot requests and API calls. It should also offer encryption of all traffic and enable blacklisting malicious IPs and neutralizing DDos attacks.
4. Easy Integration
A good cloud robotics architecture should allow for integration with existing tools. Your operators shouldn't encounter too much difficulty with incorporating business intelligence and productivity applications in the cloud backend.
Lastly, if you have an efficient analytics software package, all the raw information coming from robots can be transformed into valuable data. As you add more robots and smart devices to your operations, the analytics generates precious data that could help you spot trends, diagnose failures or recognize inefficiencies.
Benefits of Analyzing Robot Data in the Cloud
Robots, taking advantage of the cloud, can use big data giving them access to maps, object data and images.
More Computational Power
Thanks to shared resources for computing, robots can now work more efficiently and powerfully.
Cloud robotics additionally provides sharing of data from several robots and devices including their movements, performances, and outcomes. This data can be valuable for collective learning.
Remote Data Collection and Troubleshooting
As mentioned before, cloud robotics enables extremely high accuracy and reliability in remote collection of data. Similarly, it also offers users to troubleshoot issues remotely much more effectively.
The transmission and sharing of data among connected robots also helps in predicting and preventing failures before they occur, resulting in less downtime, more productivity and a safer work environment.
Improving Customer Experience
Robots on the cloud can drastically improve efficiency and precision in important areas in a factory setting. With access to more data and equipped with artificial intelligence, robots are making a positive impact on production lines, assemblies and warehouse management.
Cloud robotics is transforming workspaces and is being employed in several industries and real-world applications. It’s allowing users to access diverse technologies to make their robots smarter, faster, and more powerful than before.
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