Controlling Torobo Humanoid by using a motion capture suit
Spontaneous interactions between two robots
Humanoid Robot OP2 performs imitative interaction through learning. They shows spontaneous turn-taking and switching of movement patterns. This experiment has been conducted by Jungsk Hwang, Nadine Wirkuttis, and Jun Tani.
A humanoid robot using MTRNN developes functinal hierarchy through learning where a set of primitive behaviors are learned in the lower level characterised by fast dynamics and their sequential combinations in the higher level characterized by slow dynamics. See (Yamashita & Tani, 2008) for details.
iCub robot controlled by MTRNN
iCub robot is controlled by MTRNN. This was done by Martin Peniak at Univ. of Plymouth
Spontaneous generation of actions by developing deterministic chaos
Goal-directed planning using a framework analogous to active inference
Pathology of schizophrenia reconstructed in a humanoid robot
Online modification of motor plan of a robot by using a framework analogous to active inference
Robot performed online modification of motor program and execution of it by using a framework analogous to active inference (Friston et al., 2010) implemented in hierarchically-organized RNN. The robot was trained with two types of behavior patterns associated with two positions of a visual object. The video shows the moment of environmental situation change when the visual object was moved from a habituated position to another. It can be seen that representation in the immediate past window as well as future movement plan were modified in online by backpropagating the prediction error through time in the past window. See details in (Tani, 2003)