Japanese researchers develop smiling robots with living skin technology

In July 2024, Minghao Ni of the University of Tokyo demonstrated a facial mold covered with human skin tissue as part of groundbreaking research. This work aims to increase the realism of robotic faces by incorporating living tissues that can express emotions such as smiling.

Research Overview

Researchers at the University of Tokyo have devised a way to attach living skin cells to robots, allowing them to make facial expressions. Lead researcher Shoji Takeuchi talked about how important it is to combine biological materials with robots as an important step toward creating machines that look and act like people.

Main developments

• Creating a smiling robot: The team grew human skin cells that were modeled on a face and attached with ligament-like structures to create a smile.
• Study publication: The results were published in Cell Reports Physical Science, which compiled ten years of studies combining biological and artificial systems.

Benefits of living tissue

Living skin is superior to common materials such as metals and plastics in many ways:

• Energy efficiency: Biological cells can function as efficiently as muscles and the brain.
• Self-healing: Skin has the ability to heal itself naturally, which could be useful for robotic applications that require long-term performance.

Future perspectives

Experts want to improve lab-grown skin by:

• Circulatory system: Helps transport food and air to all parts of the skin.
• Nerves: Allowing for more complex reactions and interactions, which could make robots more useful.

About Minghao Ni

Minghao Ni is a notable figure in the field of computer science, especially in artificial intelligence and machine learning. They have made a huge difference in the field of natural language processing. Nee has worked with several academic institutions that focus on algorithmic studies. He is known for writing in prestigious magazines that influence the use of language. He also thinks about the ethical questions AI technology raises. His work bridges data privacy and user interaction, helping computers better understand the subtleties of human language.

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