Abstract
The use of robots in people daily life and, accordingly, the requirement for a robot to behave in a socially acceptable way are getting more and more attention. However, although many progresses have been done in the last years, robots still have many limitations when they are required to share the environment with humans.
In this paper, we define the concept of social plans combining two main ideas: the definition of social behaviors for enabling a robot to live with humans and the establishment of a symbiotic relationship among robots and humans to overcome robots’ limitations. Social plans are plans containing both robot and human actions and we provide an execution model for them where human actions are replaced by a human-robot collaboration scheme in which the robot actively drives the interaction with a human in order to obtain the desired effect.
A fully implemented system has been realized following this idea and different examples are provided in order to demonstrate the effectiveness of the approach.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Burgard, W., Cremers, A.B., Fox, D., Hähnel, D., Lakemeyer, G., Schulz, D., Steiner, W., Thrun, S.: Experiences with an interactive museum tour-guide robot. Artificial Intelligence 114(1), 3–55 (1999)
Cirillo, M., Karlsson, L., Saffiotti, A.: Human-aware task planning: an application to mobile robots. ACM Transactions on Intelligent Systems and Technology (TIST) 1(2), 15 (2010)
Gross, H.M., Boehme, H., Schröter, C., Mueller, S., Koenig, A., Einhorn, E., Martin, C., Merten, M., Bley, A.: Toomas: interactive shopping guide robots in everyday use-final implementation and experiences from long-term field trials. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009, pp. 2005–2012. IEEE (2009)
Kirby, R.: Social robot navigation. Ph.D. thesis, Carnegie Mellon University, The Robotics Institute (2010)
Kirby, R., Simmons, R., Forlizzi, J.: Companion: A constraint-optimizing method for person-acceptable navigation. In: The 18th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2009, pp. 607–612. IEEE (2009)
Montemerlo, M., Pineau, J., Roy, N., Thrun, S., Verma, V.: Experiences with a mobile robotic guide for the elderly. In: AAAI/IAAI, pp. 587–592 (2002)
Pacchierotti, E., Christensen, H.I., Jensfelt, P.: Embodied social interaction for service robots in hallway environments. In: Field and Service Robotics, pp. 293–304. Springer (2006)
Rosenthal, S., Biswas, J., Veloso, M.: An effective personal mobile robot agent through symbiotic human-robot interaction. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 915–922. International Foundation for Autonomous Agents and Multiagent Systems (2010)
Rosenthal, S., Veloso, M., Dey, A.K.: Is someone in this office available to help me? Journal of Intelligent & Robotic Systems 66(1-2), 205–221 (2012)
Ziparo, V., Iocchi, L., Lima, P., Nardi, D., Palamara, P.: Petri Net Plans - A framework for collaboration and coordination in multi-robot systems. Autonomous Agents and Multi-Agent Systems 23(3), 344–383 (2011)
Ziparo, V.A., Iocchi, L.: Petri net plans. In: Proceedings of Fourth International Workshop on Modelling of Objects, Components, and Agents (MOCA), pp. 267–290 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Nardi, L., Iocchi, L. (2014). Representation and Execution of Social Plans through Human-Robot Collaboration. In: Beetz, M., Johnston, B., Williams, MA. (eds) Social Robotics. ICSR 2014. Lecture Notes in Computer Science(), vol 8755. Springer, Cham. https://doi.org/10.1007/978-3-319-11973-1_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-11973-1_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11972-4
Online ISBN: 978-3-319-11973-1
eBook Packages: Computer ScienceComputer Science (R0)