Human-Robot Interfaces for Social Interaction

Khamis, Alaa; Kamel, Mohamed S.; Salichs, Miguel Á.

doi:10.2316/journal.206.2007.3.206-2957

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…These tasks a may include handling various house duties, providing medical care for elderly people, assisting people with motor or cognitive disabilities, educational entertainment (edutainment), personal assistance, hospital logistic aids, collaborative search-and-rescue during disaster situations, giving directions at information points in public places, museum tour guiding, etc. These applications need to develop social robots that can work with humans as partners if not peers in the form of bystanders or team mates [18]. Such robots should have a high level of autonomy enabling the robot to survive in different situations.…”

Section: Human-robot Interaction Case Studymentioning

confidence: 99%

Ontology for autonomous robotics

Olszewska

Barreto²,

Bermejo–Alonso³

et al. 2017

2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

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Abstract-Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.

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Section: Human-robot Interaction Case Studymentioning

confidence: 99%