Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
International Journal of Social Robotics
Erschienen in: International Journal of Social Robotics 2/2017

05.01.2017

Teaching Robot’s Proactive Behavior Using Human Assistance

verfasst von: A. Garrell, M. Villamizar, F. Moreno-Noguer, A. Sanfeliu

Erschienen in: International Journal of Social Robotics | Ausgabe 2/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In recent years, there has been a growing interest in enabling autonomous social robots to interact with people. However, many questions remain unresolved regarding the social capabilities robots should have in order to perform this interaction in an ever more natural manner. In this paper, we tackle this problem through a comprehensive study of various topics involved in the interaction between a mobile robot and untrained human volunteers for a variety of tasks. In particular, this work presents a framework that enables the robot to proactively approach people and establish friendly interaction. To this end, we provided the robot with several perception and action skills, such as that of detecting people, planning an approach and communicating the intention to initiate a conversation while expressing an emotional status. We also introduce an interactive learning system that uses the person’s volunteered assistance to incrementally improve the robot’s perception skills. As a proof of concept, we focus on the particular task of online face learning and recognition. We conducted real-life experiments with our Tibi robot to validate the framework during the interaction process. Within this study, several surveys and user studies have been realized to reveal the social acceptability of the robot within the context of different tasks.
Vorheriger Artikel cBDI: Towards an Architecture for Human–Machine Collaboration
Nächster Artikel The Berimbot: A Robotic Musical Instrument as an Outreach Tool for the Popularization of Science and Technology

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Anzalone SM, Boucenna S, Ivaldi S, Chetouani M (2015) Evaluating the engagement with social robots. Int J Soc Robot 7(4):465–478CrossRef
2.
Arras K, Mozos O, Burgard W (2007) Using boosted features for the detection of people in 2d range data. In: Proceedings of the IEEE international conference on robotics and automation, pp 3402–3407
3.
Atkinson DJ, Clark MH (2014) Methodology for study of human-robot social interaction in dangerous situations. In: Proceedings of the second international conference on Human-agent interaction. ACM, pp 371–376
4.
Bauer A, Klasing K, Lidoris G, Mühlbauer Q, Rohrmüller F, Sosnowski S, Xu T, Kühnlenz K, Wollherr D, Buss M (2009) The autonomous city explorer: towards natural human-robot interaction in urban environments. Int J Soc Robot 1(2):127–140CrossRef
5.
Bittermann A, Kuhnlenz K, Buss M (2007) On the evaluation of emotion expressing robots. In: IEEE international conference on robotics and automation, pp 2138–2143
6.
Breazeal C (2003) Emotion and sociable humanoid robots. Int J Hum Comput Stud 59(1):119–155CrossRef
7.
Breazeal C (2009) Role of expressive behaviour for robots that learn from people. Philos Trans R Soc B Biol Sci 364(1535):3527–3538CrossRef
8.
Burgard W, Cremers A, Fox D, Hähnel D, Lakemeyer G, Schulz D, Steiner W, Thrun S (1998) The interactive museum tour-guide robot. In: Proceedings of the National Conference on Artificial Intelligence. John Wiley & Sons Ltd, pp 11–18
9.
Clark H (1996) Using language, vol 4. Cambridge University Press, CambridgeCrossRef
10.
Cooper B, Brna P, Martins A (2000) Effective affective in intelligent systems–building on evidence of empathy in teaching and learning. In: Affective interactions. Springer, Berlin, pp 21–34
11.
Dautenhahn K, Walters M, Woods S, Koay K, Nehaniv C, Sisbot A, Alami R, Siméon T (2006) How may i serve you?: A robot companion approaching a seated person in a helping context. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. ACM, pp 172–179
12.
Dautenhahn K, Woods S, Kaouri C, Walters M, Koay K, Werry I (2005) What is a robot companion-friend, assistant or butler? In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, pp 1192–1197
13.
Fellous JM, Arbib MA (2005) Who needs emotions?: The brain meets the robot. Oxford University Press, OxfordCrossRef
14.
Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627–1645CrossRef
15.
Ferrer G, Garrell A, Sanfeliu A (2013) Robot companion: a social-force based approach with human awareness-navigation in crowded environments. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems, pp 1688–1694
16.
Ferrer G, Garrell A, Villamizar M, Huerta I, Sanfeliu A (2013) Robot interactive learning through human assistance. In: Multimodal interaction in image and video applications. Springer, pp 185–203
17.
Garrell A, Sanfeliu A (2012) Cooperative social robots to accompany groups of people. Int J Robot Res 31(13):1675–1701CrossRef
18.
Garrell A, Sanfeliu A, Moreno-Noguer F (2009) Discrete time motion model for guiding people in urban areas using multiple robots. In Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, pp 486–491
19.
Gill A (1962) Introduction to the theory of finite-state machines. McGraw-Hill, New YorkMATH
20.
Gockley R, Forlizzi J, Simmons R (2006) Interactions with a moody robot. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. ACM, pp 186–193
21.
Gockley R, Simmons R, Forlizzi J (2006) Modeling affect in socially interactive robots. In: The 15th IEEE international symposium on robot and human interactive communication. IEEE, pp 558–563
22.
Goffman E (1966) Behavior in public places: notes on the social organization of gatherings. Free Press, New York
23.
Haasch A, Hohenner S, Hüwel S, Kleinehagenbrock M, Lang S, Toptsis I, Fink G, Fritsch J, Wrede B, Sagerer G (2004) Biron–the bielefeld robot companion. In: Proceedings of the international workshop on advances in service robotics. Fraunhofer IRB Verlag, Stuttgart, Germany,pp 27–32
24.
Hall ET (1969) The hidden dimension. Anchor Books, New York
25.
Haralock RM, Shapiro LG (1991) Computer and robot vision. Addison-Wesley Longman Publishing Co., Inc., New York
26.
Hayashi K, Sakamoto D, Kanda T, Shiomi M, Koizumi S, Ishiguro H, Ogasawara T, Hagita N (2007) Humanoid robots as a passive-social medium: a field experiment at a train station. In: Proceedings of the ACM/IEEE international conference on Human-robot interaction, pp 137–144
27.
Helbing D, Molnar P (1995) Social force model for pedestrian dynamics. Phys Rev E 51(5):4282–4286CrossRef
28.
Hirth J (2012) Towards socially interactive robots-designing an emotion-based control architecture. Dr. Hut
29.
Hirth J, Schmitz N, Berns K (2011) Towards social robots: designing an emotion-based architecture. Int J Soc Robot 3(3):273–290CrossRef
30.
Höök K (2009) Affective loop experiences: designing for interactional embodiment. Philos Trans R Soc London B Biol Sci 364(1535):3585–3595CrossRef
31.
Kanda T, Shiomi M, Miyashita Z, Ishiguro H, Hagita N (2009) An affective guide robot in a shopping mall. In: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, pp 173–180
32.
Kędzierski J, Muszyński R, Zoll C, Oleksy A, Frontkiewicz M (2013) Emys-emotive head of a social robot. Int J Soc Robot 5(2):237–249CrossRef
33.
Khatib O (1985) Real-time obstacle avoidance for manipulators and mobile robots. Proceedings of the IEEE international conference on robotics and automation, vol 2, pp 500–505
34.
Kirby R (2010) Social robot navigation. Ph.D. thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, USA
35.
Koay K, Sisbot E, Syrdal D, Walters M, Dautenhahn K, Alami R (2007) Exploratory study of a robot approaching a person in the context of handing over an object. In: Proceedings of the AAAI-SS on multi-disciplinary collaboration for socially assistive robotics, pp 18–24
36.
Kühnlenz B, Sosnowski S, Buß M, Wollherr D, Kühnlenz K, Buss M (2013) Increasing helpfulness towards a robot by emotional adaption to the user. Int J Soc Robot 5(4):457–476CrossRef
37.
Lee M, Makatchev M (2009) How do people talk with a robot?: An analysis of human-robot dialogues in the real world. In: Proceedings of the international conference extended abstracts on Human factors in computing systems. ACM, pp 3769–3774
38.
Leite I, Martinho C, Pereira A, Paiva A (2009) As time goes by: long-term evaluation of social presence in robotic companions. In: RO-MAN 2009-The 18th IEEE international symposium on robot and human interactive communication, pp 669–674
39.
Ljungblad S, Kotrbova J, Jacobsson M, Cramer H, Niechwiadowicz K (2012) Hospital robot at work: something alien or an intelligent colleague? In: Proceedings of the ACM 2012 conference on computer supported cooperative Work. ACM, pp 177–186
40.
Marsella SC, Gratch J (2009) EMA: a process model of appraisal dynamics. Cogn Syst Res 10(1):70–90CrossRef
41.
Michalowski M, Sabanovic S, Simmons R (2006) A spatial model of engagement for a social robot. In: Proceedings of the 9th IEEE international workshop on advanced motion control, pp 762–767
42.
Morales Saiki L, Satake S, Huq R, Glass D, Kanda T, Hagita N (2012) How do people walk side-by-side?: using a computational model of human behavior for a social robot. In: Proceedings of the 7th ACM/IEEE international conference on human-robot interaction, pp 301–308
43.
Mutlu B, Shiwa T, Kanda T, Ishiguro H, Hagita N (2009) Footing in human-robot conversations: how robots might shape participant roles using gaze cues. In: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, pp 61–68
44.
Quigley M, Conley K, Gerkey B, Faust J, Foote T, Leibs J, Ng A (2009) Ros: an open-source robot operating system. In: ICRA workshop on open source software, vol 3, no 3.2, p 5
45.
Rich C, Ponsler B, Holroyd A, Sidner CL (2010) Recognizing engagement in human-robot interaction. In: Human-robot interaction (HRI), 2010 5th ACM/IEEE international conference on. IEEE, pp 375–382
46.
Roseman IJ (1996) Appraisal determinants of emotions: constructing a more accurate and comprehensive theory. Cogn Emot 10(3):241–278CrossRef
47.
Saldien J, Goris K, Vanderborght B, Vanderfaeillie J, Lefeber D (2010) Expressing emotions with the social robot probo. Int J Soc Robot 2(4):377–389CrossRef
48.
Salichs MA, Malfaz M (2006) Using emotions on autonomous agents. the role of happiness, sadness and fear. Integr Approaches Mach Conscious Part AISB 6:157–164
49.
Satake S, Kanda T, Glas D, Imai M, Ishiguro H, Hagita N (2009) How to approach humans?-strategies for social robots to initiate interaction. In: Proceedings of the ACM/IEEE international conference on human-robot interaction, pp 109–116
50.
Schlosberg H (1954) Three dimensions of emotion. Psychol Rev 61(2):81CrossRef
51.
Shi C, Shimada M, Kanda T, Ishiguro H, Hagita N (2011) Spatial formation model for initiating conversation. In: Proceedings of robotics: science and systems, Los Angeles
52.
Shiomi M, Kanda T, Glas D, Satake S, Ishiguro H, Hagita N (2009) Field trial of networked social robots in a shopping mall. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, pp 2846–2853
53.
Sidner CL, Kidd CD, Lee C, Lesh N (2004) Where to look: a study of human-robot engagement. In: Proceedings of the 9th international conference on Intelligent user interfaces. ACM, pp 78–84
54.
Sisbot EA, Marin-Urias LF, Broquere X, Sidobre D, Alami R (2010) Synthesizing robot motions adapted to human presence. Int J Soc Robot 2(3):329–343CrossRef
55.
Timofte R, Zimmermann K, Van Gool L (2014) Multi-view traffic sign detection, recognition, and 3d localisation. Mach Vis Appl 25(3):633–647CrossRef
56.
Villamizar M, Garrell A, Sanfeliu A, Moreno-Noguer F (2012) Online human-assisted learning using random ferns. In: Proceedings of the 21st international conference on pattern recognition, pp 2821–2824
57.
Walters M, Dautenhahn K, Woods S, Koay K (2007) Robotic etiquette: results from user studies involving a fetch and carry task. In: Proceedings of the ACM/IEEE international conference on human-robot interaction, pp 317–324
58.
Xu J, Broekens J, Hindriks K, Neerincx MA (2014) Robot mood is contagious: effects of robot body language in the imitation game. In: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. International Foundation for Autonomous Agents and Multiagent Systems, pp 973–980
59.
Yohanan S, MacLean KE (2012) The role of affective touch in human-robot interaction: human intent and expectations in touching the haptic creature. Int J Soc Robot 4(2):163–180CrossRef
Metadaten
Titel
Teaching Robot’s Proactive Behavior Using Human Assistance
verfasst von
A. Garrell
M. Villamizar
F. Moreno-Noguer
A. Sanfeliu
Publikationsdatum
05.01.2017
Verlag
Springer Netherlands
Erschienen in
International Journal of Social Robotics / Ausgabe 2/2017
Print ISSN: 1875-4791
Elektronische ISSN: 1875-4805
DOI
https://doi.org/10.1007/s12369-016-0389-0

Weitere Artikel der Ausgabe 2/2017

International Journal of Social Robotics 2/2017 Zur Ausgabe

Survey

Survey of Factors for the Prediction of Human Comfort with a Non-anthropomorphic Robot in Public Spaces

OriginalPaper

Socio-Contextual Constraints for Human Approach with a Mobile Robot

OriginalPaper

Exploiting the Robot Kinematic Redundancy for Emotion Conveyance to Humans as a Lower Priority Task

OriginalPaper

cBDI: Towards an Architecture for Human–Machine Collaboration

OriginalPaper

Personal Greetings: Personalizing Robot Utterances Based on Novelty of Observed Behavior

OriginalPaper

The Berimbot: A Robotic Musical Instrument as an Outreach Tool for the Popularization of Science and Technology

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise