Cognitive Training

User Interactions and Negative Examples to Improve the Learning of Semantic Rules in a Cognitive Exercise Scenario

Enabling a robot to perform new tasks is a complex endeavor, usually beyond the reach of non-technical users. For this reason, research efforts that aim at empowering end-users to teach robots new abilities using intuitive modes of interaction are …

Cognitive System Framework for Brain-Training Exercise based on Human-Robot Interaction

Every 3 seconds someone develops dementia worldwide.Brain-training exercises, preferably involving also physical activity, have shown their potential to monitor and improve the brain function of people affected by Alzheimer Disease (AD) or Mild …

Learning Robot Policies Using a High-Level Abstraction Persona-Behaviour Simulator

Collecting data in Human-Robot Interaction for training learning agents might be a hard task to accomplish. This is especially true when the target users are older adults with dementia since this usually requires hours of interactions and puts quite …

Robot interaction adaptation for healthcare assistance

Assitive robotics is one of the big players in the technological revolution we are living in. Expectations are extremely high but the reality is a bit more modest. We present here two realistic initiatives towards the introduction of assistive robots …

Deciding the different robot roles for patient cognitive training

Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI) represent a major challenge for health systems within the aging population. New and better instruments will be crucial to assess the disease severity and progression, as well as to improve …