Every Robot need passive components

2024-05-26

Speaking of robots, what do you think of? In fact, robots have quietly penetrated into our production and life from science fiction movies and news. Below are 5 common application scenarios for robots.

1 – Artificial Intelligence (AI) and machine learning

The trend of using Artificial Intelligence in robotics and automation keeps growing. The emergence of generative AI opens-up new solutions. This subset of AI is specialized to create something new from things it’s learned via training, and has been popularized by tools such as ChatGPT. Robot manufacturers are developing generative AI-driven interfaces which allow users to program robots more intuitively by using natural language instead of code. Workers will no longer need specialized programming skills to select and adjust the robot´s actions.

Another example is predictive AI analyzing robot performance data to identify the future state of equipment. Predictive maintenance can save manufacturers machine downtime costs. In the automotive parts industry, each hour of unplanned downtime is estimated to cost US$1.3m - the Information Technology & Innovation Foundation reports. This indicates the massive cost-saving potential of predictive maintenance. Machine learning algorithms can also analyze data from multiple robots performing the same process for optimization. In general, the more data a machine learning algorithm is given, the better it performs.

2 – Cobots expanding to new applications

Human-robot collaboration continues to be a major trend in robotics. Rapid advances in sensors, vision technologies and smart grippers allow robots to respond in real-time to changes in their environment and thus work safely alongside human workers.

Collaborative robot applications offer a new tool for human workers, relieving and supporting them. They can assist with tasks that require heavy lifting, repetitive motions, or work in dangerous environments.

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

A recent market development is the increase of cobot welding applications, driven by a shortage of skilled welders. This demand shows that automation is not causing a labor shortage but rather offers a means to solve it. Collaborative robots will therefore complement – not replace – investments in traditional industrial robots which operate at much faster speeds and will therefore remain important for improving productivity in response to tight product margins.

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

3 – Mobile Manipulators

Mobile manipulators – so called “MoMas” - are automating material handling tasks in industries such as automotive, logistics or aerospace. They combine the mobility of robotic platforms with the dexterity of manipulator arms. This enables them to navigate complex environments and manipulate objects, which is crucial for applications in manufacturing. Equipped with sensors and cameras, these robots perform inspections and carry out maintenance tasks on machinery and equipment. One of the significant advantages of mobile manipulators is their ability to collaborate and support human workers. Shortage of skilled labor and a lack of staff applying for factory jobs is likely to increase demand.

4 – Digital Twins

Digital twin technology is increasingly used as a tool to optimize the performance of a physical system by creating a virtual replica. Since robots are more and more digitally integrated in factories, digital twins can use their real-world operational data to run simulations and predict likely outcomes. Because the twin exists purely as a computer model, it can be stress-tested and modified with no safety implications while saving costs. All experimentation can be checked before the physical world itself is touched. Digital twins bridge the gap between digital and physical worlds.

5 – Humanoid Robots

Robotics is witnessing significant advancements in humanoids, designed to perform a wide range of tasks in various environments. The human-like design with two arms and two legs allows the robot to be used flexibly in work environments that were actually created for humans. It can therefore be easily integrated e.g. into existing warehouse processes and infrastructure.

Robots are being used in more and more production scenarios, especially industrial robots that appear in large numbers in the manufacturing industry. When you place an order on JD.com, you will immediately receive sorting, packaging, and delivery information, and they will respond promptly even in the middle of the night. Are you surprised by the rapid response of these e-commerce platforms? Don’t be surprised, this is all the result of logistics robots. They work tirelessly and are on call 24 hours a day to receive orders, sort and deliver goods at any time, allowing users to receive goods as soon as possible.

As robots become more and more intelligent, Haidilao spent 150 million yuan to build an unmanned restaurant. From ordering to serving dishes, and subsequent cleanup, all are performed by robots. Once launched, it attracted public attention. Not only can it operate accurately, stably and smoothly, but it can also keep an eye on the freshness and inventory of the dishes at any time.

In addition, Ali's unmanned hotel has officially opened. There is no waiter in the entire building, but it is safer, cleaner and more comfortable than any other hotel; the robot "Michihito Matsuda" is one of the candidates and has become the next mayor of Tama City, Japan. The popular candidate; the Italian robot pianist played the piano live. After listening to it, Lang Lang exclaimed: "The speed of the robot Teo exceeds that of humans, and the rhythm is precise!"

No matter how powerful the robot is, it is composed of more and sensitive hardware. To achieve various control functions, the robot requires more sophisticated electronic components. 

Like Inductors, MLCC, SMD Caps, and resistors.