This paper presents results from three years of studying human-robot interaction in the context of the AAAI Robot Rescue Competition. We discuss our study methodology, the competitors’ systems and performance, and suggest ways to improve human-robot interaction in the urban search and rescue as well as other remote robot operations.

This paper describes an innovative agent-based architecture for mixed-initiative interaction between a human and a robot that interacts via a graphical user interface (GUI). Mixed-initiative interaction typically refers to a flexible interaction strategy between a human and a computer to contribute what is best-suited at the most appropriate time [1]. In this paper, we extend this concept to hu...

Human robot interaction (HRI) often considers the human impact of a robot serving to assist a human in achieving their goal or a shared task. There are many circumstances though during HRI in which a robot may make errors that are inconvenient or even detrimental to human partners. Using the ROBOtic GUidance and Interaction DEvelopment (ROBO-GUIDE) model on the Pioneer LX platform as a case stu...

In this paper, we present a wearable interaction system to enhance interaction between a human user and a humanoid robot. The wearable interaction system assists the user and enhances interaction with the robot by intuitively imitating the user motion while expressing multimodal commands to the robot and displaying multimodal sensory feedback. AMIO, the biped humanoid robot of the AIM Laborator...

In this paper we address the task of human-robot interaction in public mass exposition with several autonomous robots at a time. This implies questions regarding multi-robot control and interaction management with respect to social and commercial aspects of such an exposition. Multi-robot and interaction management is addressed with respect to visitor density and visitor flow. Human-robot inter...

In this paper, we present a cognitive architecture for human-robot interaction to allow robots to perceive, learn and understand the changing state of their surrounding environment. The cognitive architecture is composed of modules for processing of multiple sensory inputs, perception, memory and control of actions. The human-robot interaction is based on the recognition and learning of human f...

Nowadays serving robots are more and more popular in human society. However, most of them are designed for the special people or for the special scenario. There is little robot designed to apply appropriate interface for different people that can accommodate age-related and body-related in physical interaction. We propose that user-centered design should be used in physical Human-robot interact...

Social human--robot interaction is concerned with exploring the ways in which social can be achieved between a human and sociable robot. Affect has an important role as it helps interactants coordinate indicate ...

Anticipating the actions of others is key to coordinating joint activities. We propose the notion of anticipatory action and perception for for robots acting with humans. We describe four systems in which anticipation has been modeled for human-robot interaction; two in a teamwork setting, and two in a human-robot joint performance setting. In evaluating the effects of anticipatory agent activi...

The development of human-assistive robots challenges engineering and introduces new ethical and legal issues. One fundamental concern is whether human-assistive robots can be trusted. Essential components of trustworthiness are usefulness and safety; both have to be demonstrated before such robots could stand a chance of passing product certification. This paper describes the setup of an enviro...