Online Language Learning to Perform and Describe Actions for Human-Robot Interaction

Its cross reactivity with other analyzed species has allow us to identify new cellular localizations for other members of the XMAP215 family members of proteins

Finally, many user studies in HRI used Wizard of Oz technique, because robotic systems are often not robust enough to act autonomously in an environment with humans [33]. The use of

2) Knowledge representation and management: the robot is endowed with an active knowledge base that provides a symbolic model of its beliefs of the world, as well as models for

To effectively learn to imitate posture (see Figure 1) and recognize the identity of individuals, we employed a neural network architecture based on a sensory-motor association

The objective of this experiment was to show that the convergence of a classical reinforcement rule was possible when combined with a neural network rhythm predictor learning

For example, to plan the first move- ment of a pick and give task, the planner must firstly choose an initial grasp that takes into account the double-grasp needed to give the

MORSE exports the position and posture of the avatar as a global joint state to be used by the real software components of the robot.. MORSE also offers a special sensor that

The second step is the tracking performed under ROS (Robot Operating System) which was created to facilitate writing software for robotic task. This one will set up a human