The behavior of robots is frequently modeled as a computational graph, wherein data flows from sensors to computational technology, extending to actuators and then looping back. To enhance performance capabilities, robotic computing platforms need to adeptly map these graph-like structures to CPUs and specialized hardware, such as FPGAs and GPUs.

The world has entered the era of Industry 4.0. robots assist human manufacturing, emphasizing the use of "human-machine collaboration" to move toward smart production. In recent years, the population aging problem faced by developed countries has caused the production costs of industry and manufacturing to increase year by year. Enterprises have deployed automation equipment to improve production efficiency. Various industries have also undergone tremendous changes in this intelligent wave.

Nowadays, the traditional industry combines the technology of the Internet of Things, towards the innovation of Industry 4.0 and the development of intelligent manufacturing.

The world has entered the era of Industry 4.0. robots assist human manufacturing, emphasizing the use of "human-machine collaboration" to move toward smart production. In recent years, the population aging problem faced by developed countries has caused the production costs of industry and manufacturing to increase year by year. Enterprises have deployed automation equipment to improve production efficiency. Various industries have also undergone tremendous changes in this intelligent wave.

Industrial robot system integrators are located at the downstream application end of the robot industry chain, providing application solutions to end customers. It is responsible for the secondary development of industrial robot applications and the integration of peripheral automation equipment and is an important part of industrial robot automation applications.

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.

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.

Surgical robots are useful for minimally invasive surgery because they can perform precise manipulations of surgical instruments beyond human capabilities in small surgical spaces.

With the advent of the AI era, the medical community has begun to use AI data analysis, develop surgical robots, and collaborate with doctors to create innovations in precision medicine.

After more than ten years, South Korea has continuously promoted machines to target South Korea smart cities. It has achieved remarkable results in the field of industrial robots and has gradually moved towards commercialization in the field of service robots. Industrial intelligence that enhances industrial competitiveness extends to the realization of the vision of coexisting humans and robots to intelligent life.

How collaborative robots join production has become a link in the manufacturing chain, improving production efficiency. The small-scale collaborative industrial robot can be operated in a narrower place to solve the problem of working space limitation.

Nowadays, the traditional industry combines the technology of the Internet of Things, towards the innovation of Industry 4.0 and the development of intelligent manufacturing.

The traditional manufacturing industry is facing a time when the smart transformation is needed. Through the introduction of intelligent production technology, new industrial development is started.