Alle Publikationen

Erweiterte Suche öffnen

Treffer: 2

2007
Glas, D. F.; Miyashita, T.; Ishiguro, H.; Hagita, N. (2007) : Robopal: Modeling Role Transitions in Human-Robot Interaction: Proceedings 2007 IEEE International Conference on Robotics and Automation: Roma, Italy: IEEE Robotics & Automation Society, S. 2130-2137

DOI: https://doi.org/10.1109/ROBOT.2007.363636

Abstract: We have developed a new communication robot, Robopal, which is an indoor/outdoor robot for use in human-robot interaction research in the context of daily life. Robopal’s intended applications involve leading and/or following a human to a destination. Preliminary experiments have been conducted to study nonverbal cues associated with leading and following behavior, and it has been observed that some behaviors, such as glancing towards the leader or follower, appear to be role-dependent. A system for representing these behaviors with a state transition model is described, based on four kinds of interaction roles: directive, responsive, collaborative, and independent. It is proposed that behavior modeling can be simplified by using this system to represent changes in the roles the robot and human play in an interaction, and by associating appropriate behaviors to each role

Keywords: Angemessen(heit) (von Technik), Automation, Collaboration, communication robot, Context modeling, Human robot interaction, human-robot interaction, ieee xplore, indoor-outdoor robot, intelligent robots, Laboratories, Legged locomotion, man-machine systems, Mobile robots, Power system reliability, Robopal, Robotics, state transition model, Wheels
2005
Sugiyama, O.; Kanda, T.; Imai, M.; Ishiguro, H.; Hagita, N. (2005) : Three-layered draw-attention model for humanoid robots with gestures and verbal cues: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems: Piscataway NJ: IEEE, S. 2423-2428

DOI: https://doi.org/10.1109/IROS.2005.1545293

Abstract: When we talk about objects in an environment, we indicate to a listener which object is currently under consideration by using pointing gesture and such reference terms as "this" and "that". Such reference terms play an important role in human interaction by quickly informing the listener of an indicated object’s location. In this research, we propose a three-layered draw-attention model for humanoid robots with gestures and verbal cues. Our proposed three-layered model consists of three sub models: reference term model (RTM), limit distance model (LDM) and object property model (OPM). RTM decides an appropriate reference term using functions constructed by an analysis of human behavior. LDM decides whether to use the object’s property with a reference term. OPM decides the appropriate property for indicating the object by comparing object properties with each other. We developed an attention drawing system in a communication robot named "Robovie" based on the three layered model. We confirmed its effectiveness through the experiments.

Keywords: Angemessen(heit) (von Technik), Cities, communication robot, Gesture recognition, Human behavior, Human Computer Interaction, human interaction, Human robot interaction, Humanoid Robot, Humanoid Robots, human-robot interaction, human-robot interface, ieee xplore, intelligent robots, Knowledge engineering, limit distance model, Medical services, object property model, pointing gesture, reference term model, robot gesture, robot verbal cue, Robovie, Senior citizens, speech recognition, three-layered draw attention model, towns

2007

2005

poliTE