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● Self-Learning Robots – A New Era Begins

Data Augmentation, AI Imitation Learning, and the Future Robot Ecosystem from NVIDIA’s Strategy Perspective

1. The Importance and Economic Development of Data Augmentation

The amount of data is key to economic and technological development.
The foundation of all AI and robot development relies on massive data.
In imitation learning, there is a limit to the data collected from real-world situations, so
the amount of data is maximized by utilizing simulations and digital twins.
AI models can be effectively trained based on this amplified big data.
NVIDIA stands out with its strategy of supporting this data augmentation process and even creating AI models.
In terms of economic prospects, the combination of data and AI is expected to bring significant changes to the global robot market and the manufacturing sector.

2. Humanoid Robots and Imitation Learning

As the development of domestic humanoid robots combines with AI technology,
humanoids are able to perform detailed tasks like human hands.
For example, the degree of freedom of the robot hand has increased, enabling precise tasks such as gripping objects and using tools.
In particular, the introduction of a method in which robots directly imitate human behavior (imitation learning)
has enabled efficient learning and development while saving time and costs.
Previously, engineers designed robot movements through coding one by one,
but now the era has arrived where robots learn on their own by imitating human behavior.

3. Data Augmentation Using Simulation and Digital Twins

To supplement the limited pilot learning data in reality,
digital twin technology is used to reproduce the same environment in a virtual space.
By creating various situations and data with one robot,
it increases the probability of success of imitation learning and enables robots to respond to various situations.
These simulation technologies will further increase the economic value of robot and artificial intelligence development in the future.

4. Collaboration with NVIDIA and Future Strategies

NVIDIA plays a key role in the AI ecosystem like a highway.
NVIDIA’s GPUs, AI chips, and software platforms enable the
fast and efficient data processing and imitation learning system in the robot-related industry.
This collaboration is expected to have a positive impact on the domestic robot foundation model, domestic AI, and the overall economy.
In other words, in addition to independent development, by actively utilizing NVIDIA’s innovative solutions,
strategies to strengthen global competitiveness and contribute to economic growth are being materialized.

Summary

Data is the key to the development of AI and robot technology.
Data augmentation is being achieved through imitation learning and digital twins,
and humanoid robots are evolving by imitating human precision work.
With the support of NVIDIA, high-speed data processing and AI model learning are enabled,
which is expected to have a positive impact on the domestic and international economy and technology as a whole.
Keywords: AI, Big Data, Artificial Intelligence, Robot, Economic Outlook

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