Machine learning to help develop self-healing robots that ‘feel pain’

Anonymous — Wed, 07 Aug 2019 09:11:57 +0000

̽��ֱ��goal of the €3 million Self-healing soft robot (SHERO) project, funded by the European Commission, is to create a next-generation robot made from self-healing materials (flexible plastics) that can detect damage, take the necessary steps to temporarily heal itself and then resume its work – all without the need for human interaction.

Led by the ̽��ֱ�� of Brussels (VUB), the research consortium includes the Department of Engineering ( ̽��ֱ�� of Cambridge), École Supérieure de Physique et de Chimie Industrielles de la ville de Paris (ESPCI), Swiss Federal Laboratories for Materials Science and Technology (Empa), and the Dutch Polymer manufacturer SupraPolix.

As part of the SHERO project, the Cambridge team, led by Dr Fumiya Iida from the Department of Engineering are looking at integrating self-healing materials into soft robotic arms.

Dr Thomas George Thuruthel, also from the Department of Engineering, said self-healing materials could have future applications in modular robotics, educational robotics and evolutionary robotics where a single robot can be 'recycled' to generate a fresh prototype.

“We will be using machine learning to work on the modelling and integration of these self-healing materials, to include self-healing actuators and sensors, damage detection, localisation and controlled healing,” he said. “ ̽��ֱ��adaptation of models after the loss of sensory data and during the healing process is another area we are looking to address. ̽��ֱ��end goal is to integrate the self-healing sensors and actuators into demonstration platforms in order to perform specific tasks.”

Professor Bram Vanderborght, from VUB, who is leading the project with scientists from the robotics research centre Brubotics and the polymer research lab FYSC, said: “We are obviously very pleased to be working on the next generation of robots. Over the past few years, we have already taken the first steps in creating self-healing materials for robots. With this research we want to continue and, above all, ensure that robots that are used in our working environment are safer, but also more sustainable. Due to the self-repair mechanism of this new kind of robot, complex, costly repairs may be a thing of the past.”

Researchers from the ̽��ֱ�� of Cambridge will use self-healing materials and machine learning to develop soft robotics as part of a new collaborative project.

Self-healing robots that ‘feel pain’

Bram Vanderborght

Robotic hand made of self-healing material that can heal at room temperature

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̽��ֱ�� of Cambridge - Swiss Federal Laboratories for Materials Science and Technology (Empa)

Machine learning to help develop self-healing robots that ‘feel pain’

Self-healing robots that ‘feel pain’