MovinL, LG Electronics, Doosan Robotics, and Daedong Form Physical AI Alliance
TECHWORLD ·
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MovinL said it will participate in 4 tasks under the 'K-On-Device AI Semiconductor Technology Development Project,' which is being promoted by the Ministry of Trade, Industry and Energy and overseen by the Korea Evaluation Institute of Industrial Technology.
MovinL will work with LG Electronics, Doosan Robotics, and Daedong to develop on-device AI semiconductors and software for humanoids, collaborative robots, unmanned agricultural robots, and AI home applications.
The project will proceed in a way that demand-side companies first present requirements, after which MovinL develops based on those needs and then verifies performance and applicability on actual devices.
AI semiconductor company MovinL announced on the 28th that it will participate in 4 tasks under the 'K-On-Device AI Semiconductor Technology Development Project,' which is being promoted by the Ministry of Trade, Industry and Energy and overseen by the Korea Evaluation Institute of Industrial Technology. MovinL is pushing ahead with the development of on-device AI semiconductors for robots and home appliances, and will work with domestic manufacturers including LG Electronics, Doosan Robotics, and Daedong. MovinL is led by CEO Shin Dong-ju.
Under the project, demand-side companies first present the product-specific requirements, after which MovinL develops AI semiconductors and software that reflect those needs and then verifies performance and applicability on actual devices. This marks a departure from the conventional approach of securing customers based on finished chips.
Under this model, MovinL will align requirements with demand-side companies from the early stage of product development and begin work on semiconductors optimized for the products. In the process, it will coordinate with LG Electronics, Doosan Robotics, and Daedong to optimize semiconductors for robots and home appliances.
Specifically, MovinL will lead the AI semiconductor development subtask for LG Electronics' humanoid project and the AI semiconductor development subtask for Doosan Robotics' collaborative robot project. It will also lead the AI semiconductor development subtask for Daedong's unmanned agricultural robot project and participate as a co-research and development institution in the AI home field of LG Electronics collaboration.
MovinL is taking part in different robot projects with LG Electronics, Doosan Robotics, and Daedong to create AI semiconductors and a development environment. The company is participating in the joint humanoid project with LG Electronics, where it will push ahead with the development of an on-device AI accelerator. The goal is to process AI computing for environment recognition and decision-making inside the device for humanoids operating in everyday spaces.
MovinL is also participating in Doosan Robotics' collaborative robot project. In this project, it will develop AI semiconductors for next-generation collaborative robots and software development tools (SDK). To that end, it plans to build the semiconductor and development environment at the same time and verify applicability in connection with actual robot platforms.
MovinL is also participating in Daedong's unmanned agricultural robot project. In this project, it is pushing ahead with the development of AI semiconductors and a development environment. The focus is on implementing AI functions for environmental recognition and autonomous work in agricultural settings through robots.
Although the three projects differ in their application environments, they all fall under physical AI. Physical AI refers to recognizing and judging surrounding conditions and then linking the results to actual movement. MovinL plans to develop technology that processes AI computing efficiently according to each robot's functions and operating conditions.
This project will be carried out in a way that demand-side companies in the fields of humanoids, collaborative robots, agricultural robots, and home appliances, where actual commercialization is being pushed ahead with, collaborate from the early stage of development. Through this, it seeks to promote development that reflects the actual product requirements of domestic NPUs and to verify the applicability of domestic NPUs.
In the home appliance field, it is carrying out an AI home project with LG Electronics. The project aims to develop on-device AI semiconductor technology for home appliance applications and seeks to establish a basis for efficient execution of AI functions within devices by considering product-specific performance, power, and cost conditions.
On-device AI is technology for processing AI computations inside devices. Accordingly, the development of on-device AI semiconductors must take into account not only computing performance but also power consumption, the product usage environment, and software application conditions.
Through this project, MovinL is pushing ahead with the development of AI semiconductors tailored to industry-specific and product-specific requirements. As a foundation for this, it has its own NPU technology and software development environment, and it is building an execution environment for AI models on actual devices. In this project, it plans to develop semiconductors and software application environments aligned with each task's development scope, and it will also carry out verification linked to the actual devices of demand-side companies.
The company said its policy is not to stop at confirming chip-level performance, but to verify whether AI functions required by customer products can actually be implemented. It added that it will check whether the necessary AI functions are actually realized in customer products, then reflect the verification results in technological advancement plans and in follow-up commercialization plans.
Shin Dong-ju, CEO of MovinL, said the benchmark for judging the competitiveness of domestic NPUs lies not in chip performance alone, but in proving performance and economic efficiency in actual products and services. He also emphasized the need to combine semiconductors and software for each environment, from robots and home appliances to NPU data centers, and explained that securing actual use cases is the foundation for the growth of the domestic AI ecosystem and entry into overseas markets.
Shin Dong-ju, CEO of MovinL, said the company will push ahead with AI semiconductor development tailored to the product requirements of demand-side companies through these 4 tasks. He also outlined goals of advancing demonstrations on actual devices, pushing ahead with commercialization, and linking the effort to adoption in customer products, while adding that it plans to expand the use of domestic NPUs across a wide range of AI services and industrial sites.
Source: TECHWORLD · Park Gyu-chan
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407387
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Source: TECHWORLD
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