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RGA is committed to enhancing lives through inspiration and innovation in advanced robotics and AI.

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More than 600,000 robots are deployed globally each year, taking over human labor in factories, warehouses, and construction sites.

As a result, productivity has increased by 40-50%, and the number of injured workers has decreased by 8%, demonstrating positive effects.

But is this the vision of robots we once dreamed of?

The robots we dreamed of are not just machines tirelessly working in dangerous places…

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They were companions in our daily lives.

Our Mission

Deep Tech, Deep Touch

RGA creates robots that, through top-tier artificial intelligence and robotics engineering technology, interact with humans in an intelligent and emotional way and integrate into daily life.

 

Just as we regard our mothers, who handle household chores, not as mere tools but with love and respect, we aim to elevate robots from being mere tools for specific purposes to objects of affection and friendship.

 

RGA Inc. is shaping a new paradigm in AI robotics.

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Award Winner
at the Prestigious CVPR Competition

RGA won an award at an AI competition organized by CVPR, the world’s most prestigious conference in the field of artificial intelligence, co-hosted by Netflix, Sony, Meta, and others.

1st Place in the AIS 2024 Challenge

3rd Place in the Monocular Depth Estimation Challenge 2024

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We make it real with Top-Tier AI and Robotics Technology.

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Mechanical Design

For natural walking and aesthetic completion, we design static and dynamic structures through biomimetic technology.

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Robot Control

We develop technologies that control quadruped robots for stable walking in real-time in various environments and maintain consistent, balanced movements.

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AI Perception

We develop technologies that accurately recognize users and surrounding situations based on information entered through various sensors and make comprehensive judgments accordingly.

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Motion Planning

In diverse environments, we identify movement constraints, estimate our own position, and choose optimized paths and actions.

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