The research group of Atsushi Takagi, Specially Appointed Assistant Professor of Tokyo Institute of Technology, Professor Etien Badett of Imperial College London, and Professor Daichi Nozaki of the University of Tokyo has a large number of people when multiple people work together. It was clarified that the more the number increases, the better the exercise performance of each member.
According to Professor Burdett, he initially predicted that when the movements of each other were connected so that they would influence each other, if the number of people in the group increased, the effects of random forces would act like noise and reduce performance. " That is.However, that was not the case.
The research group has already demonstrated that work efficiency improves when there are two subjects, but this time we conducted an experiment with two to four subjects. In the case of four people, monitors were placed in booths separated by partitions, and exercise tasks were performed together to make the movements of the hands follow randomly moving visual targets (same movements in all booths).At that time, we used a special device called "robot interface" that can detect each other's movements through the tactile sensation of the hand.
As a result, it was confirmed that the exercise performance would be further improved by increasing the number of people who collaborate to 3 or 4.It is said that this is because the group's goal was sensed by touch and the movements were matched.Assistant Professor Takagi speculates that "this kind of motion adjustment is possible because members can estimate each other's motion targets through tactile information.""If we deepen our understanding of this kind of motion adjustment mechanism, we think it will be possible to create algorithms for multiple robots to work together," he said.
Paper information:[ELife] Individuals physically interacting in a group rapidly coordinate their movement by estimating the collective goal
