Summary of the project

Living organisms can adapt their behavior to their environment even while they lack access to accurate environmental information. Through the extraction of the "behavior rule" from these living organisms and the design and implementation of the "control rule," we are developing artificial intelligence (AI) technology in this project that can generate the desired self-organization. Additionally, robots and biological cyborgs will be used to test the effectiveness and utility of the system. We aim to build a society where people live more mentally healthy, are not threatened by accidents or natural disasters, and are able to collaborate with robots and biological cyborgs to create new forms of academic field, art, and culture.

Milestone by year 2030

Achieving Self-Organized Cooperative Work by Robots in Real Fields by Applying Control Rules Found in Biological Cyborgs

We will design "control rules" that enable self-organized cooperative work even in challenging conditions with a variety of obstacles on soft ground that is prone to collapse and is undulating using a self-organization platform created using biological cyborgs as tools. Moreover, by applying these rules to robots, we will achieve cooperative work by robots in environments that are comparable to real-world work sites.

Milestone by year 2025

Self-organization by Robot Swarms and Biological Cyborgs in Challenging Conditions by Applying Control Rules Found in Biological Cyborgs

To help mobile robots perform better in challenging conditions and show that self-organized cooperative transportation by robot swarm is feasible, we will extract "behavior rules" from biological organisms, design, and apply "control rules" to them.

Outline of R&D

• Outline of R&D

R&D theme structure of the project

(1) Biological cyborg swarm development engine

This engine will enable biological cyborgs, organisms equipped with ultra-compact sensors, communication devices, and behavior control units to act on its perception and behavior by extracting information about the organism's own perception and behavior as well as information about the surrounding environment.

(2) Self-organization platform

We will design control rules that enable self-organization while utilizing the original behaviors of living organisms using biological cyborgs as tools. We will also develop AI technologies that help robots to change their behaviors through applying these rules.

(3) Living vitality

In order to design control rules that take into account the pleasure and discomfort of organisms, we will develop a method to quantitatively measure the living vitality based on their perceptual and behavioral information.

Leader's institution

Osaka University

R&D institutions

Nanyang Technological University (NTU)

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• Summary of the project (196KB)
• Outline of R&D (193KB)

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