A new Torobo humanoid robot controlled by MTRNN with using force feedback control can interact with human dynamically. We are examining various emergent phenomena observed in the human-in-the-loop experiment.
Creative Dance MTRNN-PB
Humanoid Robot OP2 uses taught dances to create own new dance patterns.
First, tutors teach OP2 13 different dances. Those dances were used to train a MTRNN with parametric bias (PB). By exploring OP2’s PB space, the newly created dance patterns can be play back.
ImitateByRegression-TwoRobots
Two humanoid robots learn to predict each other’s behavior by inferring its intention. This project has been just started…
B4NeuroAct1_0
A humanoid robot learns to acquire a set of primitive behaviors and their combinations. The robot experiment utilizes MTRNN model which is characterized by its composition of fast and slow dynamics parts.
A humanoid robot spontaneously generates sequences of learned primitives. Chaos self-organized in the higher level of artificial brain (MTRNN model) generates pseudo stochastic sequences of moving an object among left, middle and right positions on a table.
Mental rehearsing and planning based on partially learned behavioral experiences. Visual stream image is generated for actually experienced ones as well as hallucinated ones.
Pathology of schizophrenia reconstructed in a humanoid robot
Pathology of schizophrenia (delusion of control) is reconstructed in a humanoid robot. The delusion of control is manifested under malfunction of top-down and bottom-up interactions in MTRNN.
A mobile robot with a hand learns to associate primitive sentences and corresponding behaviors with certain level of generalization. In the video, a robot, by recognizing a sentence “hit red”, generated the corresponding behavior. The robot was implemented with RNNPB model.
