Robotic behavior is often built as a computational graph, with data flowing from sensors to computational technology, all the way to actuators and back. To gain additional performance capabilities, robotic computing platforms must efficiently map these graph-like structures to CPUs, as well as to specialized hardware including FPGAs and GPUs.

With increasingly complex IT architecture exacerbating maintenance and operation challenges, the demand for IT agility is driving the growth of the AIOps market.

AIOps uses artificial intelligence to simplify IT job management and accelerate and automate problem resolution in complex, modern IT environments.

With the continuous development of drone technology, the expansion of their commercial applications, and the increased use of drones in industrial fields, their commercial value will continue to grow. The development of Smart Drones has led the industrial drone market to realize rapid growth in recent years.

With the reduction of the labor force and the rise of labor costs in emerging countries such as China and other Southeast Asian countries, production lines are increasing their reliance on industrial robots for processing or assembly processes. With the development of technology, the environment in which robots and laborers work together will become more common, and safety issues will become more complex.

With the development of digital technology and the impact and challenges of climate change, the smart agriculture application market has gradually grown in recent years.

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.

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.

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.

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

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.

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.

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".

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 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.

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.

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.

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.

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.

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.