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Realizing fully automated robots to combat labor shortages

Pioneering robotics,

empowering industries.

Physical AI × Force Sensation: Recreating Human Flexibility in Robots

No programming required. Requires only the space of one person. Minimizing implementation costs, this next-generation robot replicates on-site tasks with just a single training session.

Our proprietary multimodal physical AI, trained using a variety of data including rich force perception data, understands your work and flexibly reproduces it.

Keio University has developed bilateral control that allows robots and humans to share force sensations.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

Regardless of age or gender, it flexibly reproduces your desired tasks with only intuitive instruction.

You will no longer need automation costs, expert services, or long waiting times due to customization.

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Physical AI × Force Sensation: Recreating Human Flexibility in Robots

No programming required. Requires only the space of one person. Minimizing implementation costs, this next-generation robot replicates on-site tasks with just a single training session.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

The robot learns the correct gripping and slicing positions for the workpiece in a single instruction session and performs the task appropriately.

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I want to create a new system where humans and robots cooperate with each other.

We aim to solve the increasingly serious social problem of labor shortages and support a sustainable future for industry.

By combining human flexibility with the ability to handle small quantities of diverse, soft, and irregularly shaped items—tasks that were previously difficult to automate—next-generation robotic systems will increase productivity while reducing the burden on workers.

Our mission is to correctly understand our customers' challenges and work together to create the optimal solutions. We will continue to strive to create new systems in which humans and robots cooperate, and to deliver greater value to society.

Representative Director & CEO: Shun Maki

Experience the Real Touch Advantage

6+

Years of Expertise

4+

Successful

In-Factory Tests

10+

Global Partnerships

Trusted Collaborations

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Elevate Your Business with Real Touch

Discover how Real Touch's innovative tech solutions can accelerate your business growth. Let's embark on a journey towards success together.

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Sapporo Lab

〒001-0021
2-2, Kita 21-jo Nishi 12-chome, Kita-ku, Sapporo City, Hokkaido

Hokkaido University Business Spring 308

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