How Robot Software Is Helping To Change the Global Manufacturing Market

With the help of integrated robotic applications, industries that have high expectation for quality and a need for customization are becoming a major driving force for changes in the manufacturing sector. A good example of such industries is personal electronics. Since companies are looking to achieve shorter marketing time and shorter total business cycles, they are now shifting to production of smaller but plenty of different products from traditional mass production of the same product. What this means is that more products can be locally manufactured, produced and even customized.

Advancements in robot software have resulted in several changes leading to the growth of the global manufacturing market. Here are some of the changes.

Development of more intelligent robots

Currently, a lot of technology giants are working day and night to create more intelligent robots. For instance, there is a 6-axis robot that picks up objects of various shapes and materials. Since such robots aren’t pre-programmed for any specific object, their rate of failing the first time around is quite high. However thanks to robot software, these machines have the ability of learning from their successful and unsuccessful attempts as well as share their experiences to other robotic systems through the Cloud.

Other robots are being designed with chipsets that offer artificial intelligence services that improve their operational efficiency and predict downtime. There are extensive applications for deep machine learning such as minimizing downtime by optimizing robot movements through analyzing sensor data and vision systems and pre-scheduling maintenance.

Adaptation of traditional robots to new production models

Since the traditional production model is ideal for mass production don’t expect it to disappear anytime soon. In traditional factories or plants, industrial robots are not only programmed to execute specific tasks but are also fixed in one place. Even though they can be reliable, accurate and highly efficient, traditional industrial robots cannot interact with humans, see their surroundings or feel objects.

Future robots will be required to offer agility and flexibility to improve quality and remain productive if manufacturers want to keep up with the pace of the changing global manufacturing model. This will help them adapt to meet the increasingly diverse needs of their customers.

All thanks to advancement in robot software, the characteristics of future intelligent robots include the ability to deploy in several applications. They also require connectivity to a network since they share information with other smart devices and are capable of learning with the support of Big Data, artificial intelligence algorithms and the Cloud. These types of robots also need a safe, friendly and easy human-machine interface (HMI) as well as the ability to move.

Enhancing human and robot collaboration

Even though some collaborative robots may not have the accuracy or efficiency of their traditional industrial robot counterparts, they are flexible, safe, space saving, mobile and easy to install, deploy and program. Various researches forecast that the market for cobots will reach over a billion US dollars in 2020. Thanks to advancements in robot software, these types of machines are designed to interact with humans as well as understand their surroundings. The same can’t be said about traditional robots working on the assembly line.

Technologies used to design collaborative robots are intended to develop natural interfaces that will allow you to operate complex robotic systems with little training and expended energy. Cobots are a popular topic all around the world with a plethora of industrial robotic vendors showcasing their collaborative robots such as Universal Robots’ UR3, UR5 and UR10.

Navigation and mobility

What separates modern-day robots such as drones and service robots from traditional industrial robots is their mobility and portability. The form of a robot can be classified into four types based on the environment. It can either be air-based, wearable or exoskeleton, water-based or land-based. A robot’s form is usually linked with the environment in which the machine is needed to perform as well as the mobility of the robotic system. For instance, robots that are wheeled can adapt well in a predictable and structured environment while the opposite will apply for legged robots.

So far, robot software is doing great wonders in the world of robotics.