An empirical robotic framework for interacting with multiple humans

Currently work in robotics is expanding from industrial robots to robots that are employed in the living environment. For robots to be accepted into the real world, they must be capable to behave in such a way that humans do with other humans. This paper focuses on designing a robotic framework to interact with multiple humans in a natural and social ways. To evaluate the robotic framework, we conducted an experiment to perform an important social function in any conversation such as initiating interaction with the target human in multiparty setting. Results show that the proposed robotic system is functioning to initiate an interaction process in four viewing situations.

[1]  Yoshinori Kobayashi,et al.  Design an intelligent robotic head to interacting with humans , 2012, 2012 15th International Conference on Computer and Information Technology (ICCIT).

[2]  Martin Buss,et al.  Towards proactive human-robot interaction in human environments , 2011, 2011 2nd International Conference on Cognitive Infocommunications (CogInfoCom).

[3]  E. Goffman.  Behavior in Public Places , 1963 .

[4]  Yoshinori Kuno,et al.  Bidirectional Eye Contact for Human-Robot Communication , 2005, IEICE Trans. Inf. Syst..

[5]  Yoshinori Kobayashi,et al.  Effect of robot’s gaze behaviors for attracting and controlling human attention , 2013, Adv. Robotics.

[6]  Marek P. Michalowski,et al.  A spatial model of engagement for a social robot , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[8]  Takayuki Kanda,et al.  Humanoid robots as a passive-social medium - a field experiment at a train station , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[9]  Takayuki Kanda,et al.  Spatial Formation Model for Initiating Conversation , 2011, Robotics: Science and Systems.

[10]  Takayuki Kanda,et al.  Friendly Patrolling: A Model of Natural Encounters , 2011, Robotics: Science and Systems.

[11]  Gary Bradski,et al.  Learning-Based Computer Vision with Intels Open Source Computer Vision Library , 2005 .

[12]  Tetsuo Ono,et al.  Development and evaluation of an interactive humanoid robot "Robovie" , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[13]  Dylan F. Glas,et al.  How to Approach Humans?-Strategies for Social Robots to Initiate Interaction- , 2010 .

[14]  Bilge Mutlu,et al.  A Storytelling Robot: Modeling and Evaluation of Human-like Gaze Behavior , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[15]  Takashi Minato,et al.  Generating natural motion in an android by mapping human motion , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  E. Hall.  The hidden dimension: an anthropologist examines man's use of space in public and private , 1969 .

[17]  Albert Ali Salah,et al.  Joint visual attention modeling for naturally interacting robotic agents , 2009, 2009 24th International Symposium on Computer and Information Sciences.

[18]  Cynthia Breazeal,et al.  Designing sociable robots , 2002 .

[19]  Niklas Bergström,et al.  Modeling of natural human-robot encounters , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Takayuki Kanda,et al.  A Model of Proximity Control for Information-Presenting Robots , 2010, IEEE Transactions on Robotics.

[21]  Yoshinori Kobayashi,et al.  People tracking using integrated sensors for human robot interaction , 2010, 2010 IEEE International Conference on Industrial Technology.