Breakthrough Toward Intelligent Systems in the Real World
Our goal is to achieve intelligent systems that can behave appropriately in the uncertain and complex real world. In order to have a true understanding of the principles of intelligence, we focus on the physical embodiment, emergent behaviors, developmental processes, and sociality. We carry out investigations into machine learning method, novel sensors/actuators, and potential applications to tackle those problems.
Origin of Intelligence: Fetus and Infant Developmental Scenario
Human fetus simulation (with cortex model, spiking neuron, sensory-motor feedback, tactile sensation, and uterus model), Self-organization of neural network, Baby robot, Cognitive development, Emotion.
Understanding Human Brain
Time series analysis brain activity, Neural network, Multimodal recognition and learning, Body scheme, Estimation of emotion and intention, Developmental disabilities, Neuro-rehabilitation.
Embodied Cognitive Science: Emergence of Behaviors and Cognition
Coupled chaos network, Adaptive body image, Tool use, Affordance, Analyzing the “knacks” of human skills, motor learning, motor skills in sports, humanoid robot.
Bio-Inspired Robot and Soft Robotics
Bio-inspired mechanism, Biomimetics, Biomechanics, Soft actuator, Printable Robot, Artificial musculo-skeletal system, Human-robot interaction (HRI), Soft UI, shape-changing computer interface, wearable device.
