Search results for " human robot interaction"
showing 4 items of 4 documents
How do we understand other's intentions? - An implementation of mindreading in artificial systems -
Contact Estimation in Robot Interaction
2014
In the paper, safety issues are examined in a scenario in which a robot manipulator and a human perform the same task in the same workspace. During the task execution, the human should be able to physically interact with the robot, and in this case an estimation algorithm for both interaction forces and a contact point is proposed in order to guarantee safety conditions. The method, starting from residual joint torque estimation, allows both direct and adaptive computation of the contact point and force, based on a principle of equivalence of the contact forces. At the same time, all the unintended contacts must be avoided, and a suitable post-collision strategy is considered to move the r…
INVESTIGATING PERCEPTUAL AND BIOLOGICAL FEEDBACKS IN HUMAN ROBOT INTERACTION
The Human Robot Interaction (HRI) is a new discipline that has attracted more attention in the last years due to the increasing presence of robots in people’s everyday life. It is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. Interaction, by definition, requires communication between robots and humans. A social robot is an autonomous or semi-autonomous robot capable of interacting and communicating with humans or other autonomous physical agents following social behaviours and rules related to its specific role. In order to interact effectively with the human being, a robot must be able to decode the complex system of human…
Towards Partners Profiling in Human Robot Interaction Contexts
2012
Individuality is one of the most important qualities of humans. Social robots should be able to model the individuality of the human partners and to modify their behaviours accordingly.This paper proposes a profiling system for social robots to be able to learn the individuality of human partners in social contexts. Profiles are expressed in terms of of identities and preferences bound together. In particular, people’s identity is captured by the use of facial features, while preferences are extracted from the discussion between the partners. Both are bound using an Hebb network. Experiments show the feasibility and the performances of the approach presented.