Public Release: 

Brittle stars inspire new generation robots able to adapt to physical damage

Tohoku University


IMAGE: (a) Overview of a brittle star (left) and photographs of locomotion when it lost one of its arms (right). (b) Overview of the brittle star-like robot PENTABOT II (left)... view more 

Credit: Ishiguro-Kano Laboratory

Researchers at Tohoku University and Hokkaido University have, for the first time, succeeded in developing a robot capable of immediately adapting to unexpected physical damage.

This is a significant breakthrough as robots are increasingly expected to function in tough environments under hazardous conditions.

Conventional robots tend to require a considerable amount of time (several tens of seconds) to adapt when they incur unexpected physical damage. To address this problem, researchers led by Professor Akio Ishiguro of the Research Institute of Electrical Communication at Tohoku University, focused on a brittle star - a primitive echinoderm with five flexible arms. Brittle stars lack a sophisticated central nervous system, yet are able to immediately adapt to an arbitrary loss of their arms and still move by coordinating the remaining arms.

Based on behavioral experiments involving brittle stars whose arms were amputated in various ways, the researchers proposed a simple decentralized control mechanism in which each arm kicks the ground only when it obtains an assistive reaction force. This mechanism was implemented in a brittle star-like robot to demonstrate that it can adapt to unexpected physical damage within a few seconds, like its biological model.

The researchers hope that this finding will help develop resilient robots that can work in inhospitable environments such as disaster areas. It also provides insights into the essential mechanism underlying resilient animal locomotion.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.