1 – Artificial Intelligence (AI) and machine learning

5CFCRD.0064-03 There is a growing trend towards the use of AI in robotics and automation. The advent of generative artificial intelligence opens up new solutions. This subset of AI is specifically designed to create something new from what is learned through training and has been popularized by tools such as ChatGPT. Robot manufacturers are developing generative AI-driven interfaces that allow users to program robots more intuitively using natural language rather than code. Workers will no longer need specialized programming skills to select and adjust robot movements.

Another example is predictive artificial intelligence, which analyzes robot performance data to determine the future state of the device. Predictive maintenance can save manufacturers machine downtime costs. In the auto parts industry, each hour of unplanned downtime costs an estimated $1.3 million – the Information Technology and Innovation Foundation reports. This shows that predictive maintenance has great potential for cost savings. Machine learning algorithms can also 5CFCRD.0064-03 analyze data from multiple robots performing the same process for optimization. In general, the more data a machine learning algorithm provides, the better it performs.

2 – Cobots expand to new applications

Human-machine collaboration is still a major trend in robotics. Rapid advances in sensors, vision technology, and smart grippers allow robots to respond to changes in the environment in real time to work safely alongside human workers.

Collaborative robot applications provide a new tool for human workers, reducing their burden 5CFCRD.0064-03 and support. They can assist with tasks that require lifting weights, repetitive movements, or working in hazardous environments.

5CFCRD.0064-03

The range of collaboration applications offered by robot manufacturers continues to expand.

5CFCRD.0064-03 The most recent market development is the increase in collaborative robot welding applications, which is due to the shortage of skilled welders. This demand shows that automation is not causing labor shortages, but providing ways to solve them. As a result, cobots will complement rather than replace investments in traditional industrial robots, which operate much faster and therefore remain important for increasing productivity to cope with low product margins.

New competitors are also entering the market, with a particular focus on collaborative robots. Mobile manipulators are a combination of collaborative robot arms and mobile robots (AMRs), providing new use cases that can greatly expand the demand for collaborative robots.

3 – Mobile manipulator

Mobile manipulators, known as “MoMas,” are automating material 5CFCRD.0064-03 handling tasks in industries such as automotive, logistics or aerospace. They combine the mobility of a robotic platform with the dexterity of a robotic arm. This allows them to navigate complex environments and manipulate objects, which is crucial for applications in manufacturing. These robots are equipped with sensors and cameras to perform inspection and maintenance tasks on machinery and equipment. One of the significant advantages of mobile manipulators is their ability to collaborate and support human workers. A shortage of skilled labor and a lack of employees applying for factory jobs could increase demand.