When a human is interacting physically with robot to accomplish task, his/her posture inevitably influenced by the movement. Since not controllable, an active imposing collaborative trajectory should predict most likely posture. This prediction consider individual differences and preferences of movement execution, it necessary evaluate impact robot's action from ergonomics standpoint. Here, we ...

Abstract We argue for an interdisciplinary approach that connects existing models and theories in Human–Robot Interaction (HRI) to traditions communication theory. In this article, we review of interpersonal interaction have been applied developed the contexts HRI social robotics. often, symmetric are proposed which human robot agents depicted as having similar ways functioning (similar capabil...

Human-robot interaction can be divided into two categories based on the physical distance between the human and robot: remote and proximal. In proximal interaction, the human and robot often engage in close coordination; in remote interaction, the human and robot are less coupled due to communication constraints. As a result, providing automation for the robot in remote interaction becomes more...

Sara Kiesler is an experimental social psychologist with interests in technology (including robotics), communication, groups, and organizations. She is a professor in the Human Computer Interaction Institute, Carnegie Mellon University, Pennsylvania. Pamela J. Hinds studies the impact of technology on individuals and groups. She is an Assistant Professor in the Department of Management Science ...

C lose physical interaction between robots and humans is a particularly challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. Based on our earlier work, we present and evaluate a computationally efficient machine learning algorithm that is well suited for such close-contact interaction...