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MODELING AND TESTING PROXEMIC BEHAVIOR FOR HUMANOID ROBOTS

ELENA TORTA

Human-Technology Interaction, Eindhoven University of Technology, Den Dolech 2 Eindhoven, NL 5600MB, The Netherlands

Corresponding author.

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RAYMOND H. CUIJPERS

Human-Technology Interaction, Eindhoven University of Technology, Den Dolech 2 Eindhoven, NL 5600MB, The Netherlands

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JAMES F. JUOLA

Human-Technology Interaction, Eindhoven University of Technology, Den Dolech 2 Eindhoven, NL 5600MB, The Netherlands

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, and

DAVID VAN DER POL

Human-Technology Interaction, Eindhoven University of Technology, Den Dolech 2 Eindhoven, NL 5600MB, The Netherlands

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https://doi.org/10.1142/S0219843612500284Cited by:11 (Source: Crossref)

Abstract

Humanoid robots that share the same space with humans need to be socially acceptable and effective as they interact with people. In this paper we focus our attention on the definition of a behavior-based robotic architecture that (1) allows the robot to navigate safely in a cluttered and dynamically changing domestic environment and (2) encodes embodied non-verbal interactions: the robot respects the users personal space (PS) by choosing the appropriate distance and direction of approach. The model of the PS is derived from human–robot interaction tests, and it is described in a convenient mathematical form. The robot's target location is dynamically inferred through the solution of a Bayesian filtering problem. The validation of the overall behavioral architecture shows that the robot is able to exhibit appropriate proxemic behavior.

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References

A. Bauer, D. Wollherr and M. Buss, Int. J. Humanoid Rob. 05(01), 47 (2008). Link, Web of Science, Google Scholar
K. Dautenhahnet al., How may I serve you?, Proc. 1st ACM SIGCHI/SIGART Conf. Human–robot Interaction — HRI '06 (ACM, Salt Lake City, UT, USA, 2006) p. 172. Google Scholar
E. T. Hall , The Hidden Dimension ( Doubleday , New York , 1966 ) . Google Scholar
D. Lambert , Body Language ( Harper Collins , London , 2004 ) . Google Scholar
A. Tapus and M. J. Mataric , Socially assistive robots: The link between personality, empathy, physiological signals, and task performance , AAAI Spring Sympoisum on Emotion Personality and Social Behavior ( Springer , Stanford, CA, USA , 2008 ) . Google Scholar
D. S. Syrdal et al. , J. Soc. Psychol. 1143 ( 2007 ) . Google Scholar
J. Mumm, Human-robot proxemics: Physical and psychological distancing in human–robot interaction, Proc. 6st ACM SIGCHI/SIGART Conf. on Human–robot Interaction — HRI '11 (ACM, Lausanne, Switzerland, 2011) pp. 331–338. Google Scholar
E. A. Sisbotet al., Int. J. Soc. Rob. 2(3), 329 (2010). Crossref, Web of Science, Google Scholar
L. Takayama and C. Pantofaru, Influences on proxemic behaviors in human–robot interaction, 2009 IEEE/RSJ Int. Conf. Intell. Rob. Syst. (IEEE, St. Louis, MO, USA, 2009) pp. 5495–5502. Google Scholar
A. G. Brooks and R. C. Arkin, Auton. Robots 22(1), 55 (2006). Crossref, Web of Science, Google Scholar
Y. Nakauchi and R. Simmons , Auton. Robots 12 , 313 ( 2002 ) . Crossref, Web of Science, Google Scholar
F. Yamaokaet al., How close?: A model of proximity control for information-presenting robots, Proc. 3rd ACM/IEEE Int. Conf. Human–Robot Interaction — HRI'08 (ACM, Amsterdam, Netherlands, 2008) pp. 137–144. Google Scholar
E. Meisner , V. Isler and J. Trinkle , Auton. Robots 123 ( 2008 ) . Crossref, Web of Science, Google Scholar
E. Pacchierotti, H. I. Christensen and P. Jensfelt, Human–robot embodied interaction in hallway settings: A pilot user study, ROMAN 2005, in IEEE Int. Workshop on Robot and Human Interactive Communication (IEEE, Nashville, TN, USA, 2005) pp. 164–171. Google Scholar
M. L. Walterset al., An empirical framework for human–robot proxemics, AISB2009: Proc. Symp. New Frontiers in Human–Robot Interaction (Edinburgh, Scottland, SSAISB, 2009) pp. 8–9. Google Scholar
P. Althauset al., Navigation for human-robot interaction tasks, IEEE Int. Conf. Robotics and Automation, 2004 (New Orleans, LA, USA, 2004) pp. 1894–1900. Google Scholar
G. Schöner , M. Dose and C. Engels , Elsevier, Rob. Auton. Syst. 16 , 213 ( 1995 ) . Crossref, Web of Science, Google Scholar
E. Bicho, Dynamic approach to Behavior-Based Robotics, PhD thesis, University of Minho, (1999) . Google Scholar
P. Althaus and H. I. Christensen, Adv. Rob. 17(7), 657 (2003). Crossref, Web of Science, Google Scholar
S. Monteiro and E. Bicho, Autonomous Rob 29(4), 331 (2010). Crossref, Web of Science, Google Scholar
R. Soareset al., Object transportation by multiple mobile robots controlled by attractor dynamics: Theory and implementation, 2007 IEEE/RSJ Int. Conf. Intelligent Robots and Systems (San Diego, CA, USA, 2007) pp. 937–944. Google Scholar
E. Torta , R. H. Cuijpers and J. F. Juola , A model of the users proximity for Bayesian inference , Proc. 6st ACM SIGCHI/SIGART Conf. on Human–Robot Interaction — HRI '11 ( ACM , Lausanne, Switzerland , 2011 ) . Google Scholar
S. Thrun , W. Burgard and D. Fox , Probabilistic Robotics ( MIT Press , 2005 ) . Google Scholar
F. Gustafsson, Applications practice with positioning particle filter theory and applications, Aerosp. Electron. Syst. Mag. 25(7) (2009) . Google Scholar
M. S. Arulampalam et al. , IEEE Trans. Signal Process. 50 , ( 2002 ) . Google Scholar
J. Pineau, Rob. Auton. Syst. 42(4), 271 (2003). Crossref, Web of Science, Google Scholar
N. Bellotto and H. Hu, Auton. Rob. 28(4), 425 (2010). Crossref, Web of Science, Google Scholar
J. Gonzálezet al., Rob. Auton. Syst. 57(5), 496 (2009). Crossref, Web of Science, Google Scholar
N. Bergman, Recursive Bayesian estimation: Navigation and tracking estimation, PhD. thesis, University of Linköping, Sweden, (1999) . Google Scholar
A. Doucetet al., Rao-blackwellised particle filtering for dynamic Bayesian networks, Proc. 16th Conf. on Uncertainity in Artificial Intelligence, UAI'00 (Morgan Kaufmann Publishers Inc, San Francisco, CA, USA, 2000) pp. 176–183. Google Scholar
M. L. Walterset al., Close encounters: Spatial distances between people and a robot of mechanistic appearance, 5th IEEE-RAS Int. Conf. Humanoid Robots (IEEE, Tsukuba, Japan, 2005) pp. 450–455. Google Scholar