The idea of robotics has been in presence for quite a while, with Egyptians utilizing computerized water clocks to strike the hour bell and powerfully worked statues that could signal and talk in 400 BC. Among these, there have been numerous such occurrences of robotics in the history of mankind.
The first modern-day Industrial Revolution dates back to 1800s and had manufacturing processes for metals, chemicals, textiles, and mining; leading to an increase in productivity and output. Robots have evolved tremendously over the years and are now being widely used in various sectors such as defense, disaster management, search and rescue operations, and the entertainment industry in the form of electronically operated toys.
Automation is an extension of robotics and can be named as the following period of industrial revolution. The present industrial revolution tries to disturb the current procedures and improve them with programmable logic. While it is not difficult to recognize a repetitive process or task, it is similarly difficult to program such a code that can make a machine carry out this activity on a perpetual basis.
As technology has enhanced over time, robots and automated systems have made advances into associations where assignments may have been risky, unimaginable or out and out unremarkable for people.
Since the dawn of computer programming, automation, also called as robotics, was accessible in the form of click-and-type macros. These would repeat keyboard and mouse operations, mimicking a human.
With the advent of advanced analytics and data sciences, as in artificial intelligence, it is now possible to automate complex tasks that can act intelligently like humans. Analytics is now being used to identify or avoid risks; for example, identifying a suspect fraudulent transaction on a credit card based on the customer’s regular spending pattern or studying a customer’s spending pattern on an online retail store and recommending products.
Utilization of sensors in regular questions, for example; lights, air conditioners, and TVs—which work in light of sources of info like human signal, speech or commands—is another example. Sensors are also being used to identify speeding cars or count the number of parking slots available in large parking spaces.
The most recent application of robotics and automation can be found in technologies such as autonomous or driverless cars, 3D printing, and chat bots.
Data analytics forms the backbone of robotics and automation. Any task that can be programmed into a computer-readable code requires the extensive amount of input data to be analyzed and processed on the real-time basis to provide enhancements.
For instance, real-time data analytics assumes an essential role in allowing a driverless vehicle to self-navigate from one point to another, without human intervention. Sensors and cameras give an ongoing contribution of separation between vehicles, traffic conditions, and natural obstacles such as stones and dividers; which are then processed at high speeds to allow the vehicle to navigate at an optimum speed. Global Positioning System (GPS) provides navigation and route information for the destination. All these processes and sensors work altogether, processing large data sets to redefine the driving experience.
Chat bots too require complex understanding to simulate human behavior for efficient customer service. Data analytics can give considerable value to chat bots technology by leveraging large data sets that form the basics to simulate human behavior. With the help of artificial intelligence and machine learning, bots can be designed to continuously learn and evolve their responses to customer queries. Chat bots can also be used in assist desk management systems where these are capable of resolving queries truthfully and at a faster pace compared to their human counterparts.
Although automation technologies like driverless cars and chat bots may dislocate our life in the future, each one of these could potentially generate avenues and opportunities for individuals and businesses. Here are few examples:
- The mass adoption of driverless cars could potentially have an adverse short-term impact in the form of job losses, but may also allow low-cost entry for small-scale investors. These investors can set up a unit of driverless cabs and earn their livelihood without relying on third parties. Programming and data analytics for driverless cars would result in job creation in software engineering.
- Chat bots could possibly decrease the requirement for customer service representatives but on the other side, complex programming requirements and artificial intelligence would lead to more job creation for data science analytics and service delivery to customers.
Every industrial revolution that has occurred in the past has opened a wide variety of prospects for folks as well as organizations.