We investigate human robot interaction under no-visibility conditions. A major precondition for successful human-robot cooperation in these circumstances is that the human trusts and has confidence in the robot. In order to enhance human trust and confidence we have to make design choices that impact on a number of ethical issues. We also look at the interaction between a visual impaired person...

Future robots must co-exist and directly interact with human beings. Designing these agents imply solving hard problems linked to human-robot interaction tasks. For instance, how a robot can choose an interacting partner among various agents and how a robot locates regions of interest in its visual field. Studies of neurobiology and psychology collectively named synchrony as an indispensable pa...

In this paper, we propose a novel method to detect robot-directed speech by situated understanding in human-robot physical interaction. The originality of this work is the introduction of a Multimodal Semantic Confidence measure based domain classification method, which is used to decide whether the speech can be interpreted as a feasible action under the current physical situation in an object...

Metrics for evaluating the quality of a human-robot interface are introduced. The autonomy of a robot is measured by its neglect time. The robot attention demand metric measures how much of the user’s attention is involved with instructing a robot. The free-time and fan-out metrics are two ways to measure this demand. Each of them leads to estimates of the interaction effort. Reducing interacti...

CORRECTION article Front. Robot. AI, 18 July 2023Sec. Human-Robot Interaction Volume 10 - 2023 | https://doi.org/10.3389/frobt.2023.1251568

The evaluation of how (human) individuals perceive robots is a central issue to better understand human–robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not able assess sufficient part the composite psychological dimensions involved in HRI. Indeed, percentage variance explained often under recommended threshold for construct be valid. In artic...

Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...

In many complex robotics systems, interaction takes place in all directions between human, robot, and environment. Performance of such a system depends on this interaction, and a proper evaluation of a system must build on a proper modeling of interaction, a relevant set of performance metrics, and a methodology to combine metrics into a single performance value. In this paper, existing models ...

In this paper, we present our work in building technologies for natural multimodal human–robot interaction. We present our systems for spontaneous speech recognition, multimodal dialogue processing, and visual perception of a user, which includes localization, tracking, and identification of the user, recognition of pointing gestures, as well as the recognition of a person’s head orientation. E...