Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?

Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are topics that have been frequently discussed recently. These technologies are used in many fields, including the financial industry, logistics industry, business analysis, unmanned vehicles, computer vision, natural language processing, etc., and have spread in every corner of life.

In recent years, smart door lock technology has developed rapidly. As an important part of smart home access control, the smart lock market will grow substantially in the next few years.

To realize the smart city of the future, it is indispensable to build a safer and more efficient traffic environment, and smart vehicles with networking and various advanced functions are the key.

With the rapid development of the automotive industry in smart driving, safety assistance, automotive electronics, and human-machine interface-related technologies, the integration of virtual and real superimposed displays, driver monitoring systems (DMS), interactive functions, Internet of Things (IoT) of the smart cockpit system have become the current trend.

The development of smart sensors can be a high degree of integration of mechanical, electrical, software/firmware, circuit, and sensor knowledge.

With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.

The image recognition function of artificial intelligence (AI) is becoming more and more powerful. Face recognition, license plate recognition, and object recognition are not uncommon. In the fields of smart manufacturing and warehousing logistics, more and more manufacturers are beginning to introduce AI technology into more special applications.

The rising trend of e-commerce and retail online shopping has directly led to the improvement of distribution performance. In addition to the continuous expansion of the operating territory of local distribution companies, offline retail and mass stores have begun to carry out a series of measures to shorten delivery time and improve service quality.

Refers to the use of imaging, medical image processing technology, and other possible physiological and biochemical means, combined with computer analysis and calculation, to assist radiologists in finding lesions and improve the accuracy of diagnosis.

Underwater robotics is not only used in rescue and search, it has already been used in marine resource exploration, seabed topographic mapping, and the construction and maintenance of marine engineering structures.

The Southeast Asian Manufacturing Alliance, initiated by Singapore, is mainly characterized by orderly and divided industrial zone planning. Singapore is a market entry hub and a high-tech development center.

Although it is generally believed that smart home is a blue ocean market, many companies have tried various tricks and spent a lot of money, but the door still stands still. As the most important market economy for household consumption in the next ten years, the ecological industry chain of smart home includes technology providers such as smart home appliances, communications, voice interaction technology, fingerprint recognition technology, and various new and unique smart hardware manufacturers; E-commerce crowdfunding platform, offline distribution channels.

The emergence and maturity of technologies such as big data, AI, artificial intelligence, IoT, blockchain, etc. have brought new models to many lifestyles, especially logistics. The integration of various new technologies has become the strongest backing for "smart logistics".

With the development of science and technology, especially the improvement of the level of automation control, more and more warehouses begin to use machines to replace human labor. In 2012, Amazon acquired KAVA Systems, and within two years, a large number of KAVA mobile robots were invested in the logistics center, which greatly improved the operation efficiency and reduced operating costs, thus setting off a boom in the application of AGV mobile robots in the warehouse sector.

IoT is the current mainstream trend in technology. In this way, we will discuss the industrial changes and market opportunities of the digital revolution, and will further analyze the technology and application fields of IoT.

The Smart Machinery Cloud Platform intends to standardize terminal software and hardware, application tools, and operation platforms to assist enterprises in their digital transformation.

The development of new technologies has brought the whole world into the era of the Internet of Things. This new era has more advancements in the area of intelligent design than the information age, and smart sensors have played an indispensable role in its development.

With the rapid development of emerging industries such as the Internet of Things and mobile Internet, smart sensors are becoming more popular. Smart sensors are composed of sensing elements and signal conditioning circuit controllers that have data acquisition, conversion, analysis, and even decision-making functions. Intelligence can improve the accuracy of the sensor, reduce power consumption and volume, and achieve easier networking, thereby expanding the application range of the sensor and making its development more rapid and effective.

A service robot is defined as improving the quality and convenience of human life. It provides semi-automatic or fully automatic services through the combination of a mobile base and a robotic arm and is equipped with a controller device.