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Driving Robots Using Emotions

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Part of the Lecture Notes in Computer Science book series (TCOMPUTATSCIE,volume 8160)

Abstract

Researchers have tried to embed synthetic emotions into robot much like their biological counterparts. While many have shown the effect of emotion on decision-making for the robot, the scenarios that portray when to use emotions for robots are rare. In this paper, we evaluate the performance of a robot by empowering it with a decision-making capability which uses synthetic emotions. Since from the robot’s perspective the environment is stochastic, it needs to make the right decision for survival. A Comfort level is defined as a metric which determines the quality of life of the robot. The robot possesses various needs and urges all of which influence its decisions. The main objective was to make the robot perform high profile tasks rather than menial ones so as to increase its utility. Results obtained from experiments conducted using a real situated robot with and without emotion indicate that emotion aids more significantly when the environment has abundant resources.

Keywords

  • Artificial Life
  • Synthetic emotions
  • Behavior selection
  • Robotics
  • Software agents
  • Softbots
  • Decision-making

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References

  1. Harl, K.M., Chang, L.J., van’t Wout, M., Sanfey, A.G.: The neural mechanisms of affect infusion in social economic decision-making: A mediating role of the anterior insula. NeuroImage 61(1), 32–40 (2012)

    CrossRef  Google Scholar 

  2. Hudlicka, E.: Modeling the mechanisms of emotion effects on cognition. In: Proceedings of the 2008 AAAI Fall Symposium. The AAAI Press, Menlo Park (2008)

    Google Scholar 

  3. Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robotics and Autonomous Systems 42(3-4), 143–166 (2003)

    CrossRef  MATH  Google Scholar 

  4. Antos, D., Pfeffer, A.: Using emotions to enhance decision-making. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, vol. 1, pp. 24–30. AAAI Press (2011)

    Google Scholar 

  5. Parisi, D., Petrosino, G.: Robots that have emotions. Adaptive Behavior 18, 453–469 (2010)

    CrossRef  Google Scholar 

  6. Lee, W.P., Kuo, J.W., Lai, P.C.: Building adaptive emotion-based pet robots. In: Proceedings of the World Congress on Engineering, WCE 2008 (2008)

    Google Scholar 

  7. Liang, J., Dong, D., Wang, X.: An artificial endocrine-emotion model based on fuzzy logic. In: Zhu, R., Ma, Y. (eds.) Information Engineering and Applications. LNEE, vol. 154, pp. 307–314. Springer, London (2012)

    CrossRef  Google Scholar 

  8. Kim, H.R., Kwon, D.S.: Computational model of emotion generation for human-robot interaction based on the cognitive appraisal theory. Journal of Intelligent and Robotic Systems 60(2), 263–283 (2010)

    CrossRef  MATH  Google Scholar 

  9. Park, J.W., Kim, W.H., Lee, W.H., Chung, M.J.: Artificial emotion generation based on personality, mood, and emotion for life-like facial expressions of robots. In: Forbrig, P., Paternó, F., Mark Pejtersen, A. (eds.) HCIS 2010. IFIP AICT, vol. 332, pp. 223–233. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  10. Ekman, P., Friesen, W.V.: Unmasking the face: A guide to recognizing emotions from facial clues. Prentice-Hall, Oxford (1975)

    Google Scholar 

  11. Zhang, G., Li, Z.: The emotion mechanism of artificial life fight behavior. In: Proceedings of the International Conference on Computational Intelligence and Natural Computing, CINC 2009, vol. 1, pp. 15–18 (June 2009)

    Google Scholar 

  12. Lv, D., Wang, Y., Guo, C., Pan, Z., Shi, H.: Music-driven emotion model applied in digitalized dance performance of sacrificial ceremony for confucius. In: Pan, Z., Cheok, A.D., Müller, W., Liarokapis, F. (eds.) Transactions on Edutainment IX. LNCS, vol. 7544, pp. 205–212. Springer, Heidelberg (2013)

    CrossRef  Google Scholar 

  13. Park, C., Ryu, J., Kang, S., Kim, J., Sohn, J., Cho, H.: The emotion expression robot through the affective interaction: Kobie. In: Proceedings of the 1st International Conference on Robot Communication and Coordination, RoboComm 2007, pp. 53:1–53:4. IEEE Press, Piscataway (2007)

    Google Scholar 

  14. Zecca, M., Roccella, S., Carrozza, M.C., Miwa, H., Itoh, K., Cappiello, G., Cabibihan, J.J., Matsumoto, M., Takanobu, H., Dario, P., Takanishi, A.: On the development of the emotion expression humanoid robot WE-4RII with RCH-1, vol. 1, pp. 235–252 (June 2005)

    Google Scholar 

  15. Breazeal, C.: Emotion and sociable humanoid robots. International Journal of Human-Computer Studies 59(1-2), 119–155 (2003)

    CrossRef  Google Scholar 

  16. Salichs, M.A., Malfaz, M.: A new approach to modeling emotions and their use on a decision-making system for artificial agents. IEEE Transactions on Affective Computing 3(1), 56–68 (2012)

    CrossRef  Google Scholar 

  17. Maria, K.A., Zitar, R.A.: Emotional agents: A modeling and an application. Information and Software Technology 49(7), 695–716 (2007)

    CrossRef  Google Scholar 

  18. Cai, Z., Goertzel, B., Zhou, C., Zhang, Y., Jiang, M., Yu, G.: Dynamics of a computational affective model inspired by drners {PSI} theory. Cognitive Systems Research 1718, 63–80 (2012)

    CrossRef  Google Scholar 

  19. Becker, C., Kopp, S., Wachsmuth, I.: Simulating the emotion dynamics of a multimodal conversational agent. In: André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds.) ADS 2004. LNCS (LNAI), vol. 3068, pp. 154–165. Springer, Heidelberg (2004)

    CrossRef  Google Scholar 

  20. Raïevsky, C., Michaud, F.: Improving situated agents adaptability using interruption theory of emotions. In: Asada, M., Hallam, J.C.T., Meyer, J.-A., Tani, J. (eds.) SAB 2008. LNCS (LNAI), vol. 5040, pp. 301–310. Springer, Heidelberg (2008)

    CrossRef  Google Scholar 

  21. Sanz, R., Snchez-Escribano, M.G., Herrera, C.: A model of emotion as patterned metacontrol. Biologically Inspired Cognitive Architectures 4, 79–97 (2013)

    CrossRef  Google Scholar 

  22. Nair, S.B., Godfrey, W.W., Kim, D.H.: On realizing a multi-agent emotion engine. International Journal of Synthetic Emotions (IJSE), 1–27 (2011)

    Google Scholar 

  23. Martin, W.A.: Introduction and overview of artificial life evolving intelligent agents for modeling and simulation. In: Proceedings of the 28th Conference on Winter Simulation, pp. 161–168. IEEE Computer Society (1996)

    Google Scholar 

  24. Bedau, M.A.: Open problems in artificial life. Artif. Life 6(4), 363–376 (2000)

    CrossRef  Google Scholar 

  25. Olivier, M.: An artificial life approach for the synthesis of autonomous agents, pp. 220–231. Springer, London (1996)

    Google Scholar 

  26. Sung-Bae, C.: Applications of artificial life to developing robot and softbot. Artificial Life and Robotics 5, 142–147 (2001)

    CrossRef  Google Scholar 

  27. Kenji, I., Ikuo, S., Masahito, Y., Masashi, F.: Behavior emergence of a virtual creature living in complex environments. Artificial Life and Robotics 16, 185–189 (2011)

    CrossRef  Google Scholar 

  28. Matthias, S.: Useful roles of emotions in artificial agents: a case study from artificial life. In: Proceedings of the 19th National Conference on Artifical Intelligence, AAAI 2004, pp. 42–47. AAAI Press (2004)

    Google Scholar 

  29. Nair, S.B., Godfrey, W.W., Kim, D.H.: Towards a dynamic emotional model. In: Proceeding of the IEEE International Symposium on Industrial Electronics, pp. 1932–1936 (2009)

    Google Scholar 

  30. Jha, S.S., Naika C.L., S., Nikhra, V., Nair, S.B.: On using emotions in decision-making by situated robots. In: Proceedings of 12th International Conference on Hybrid Intelligent Systems (HIS), pp. 372–377 (December 2012)

    Google Scholar 

  31. Cañamero, L.: Emotion understanding from the perspective of autonomous robots research. Neural Networks 18(4), 445–455 (2005)

    CrossRef  Google Scholar 

  32. Wilson, S.W.: Knowledge growth in an artificial animal. In: Proceedings of the 1st International Conference on Genetic Algorithms, Hillsdale, NJ, USA, pp. 16–23. L. Erlbaum Associates Inc. (1985)

    Google Scholar 

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Jha, S.S., C.L., S.N., Nair, S.B. (2013). Driving Robots Using Emotions. In: Gavrilova, M.L., Tan, C.J.K., Abraham, A. (eds) Transactions on Computational Science XXI. Lecture Notes in Computer Science, vol 8160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45318-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-45318-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45317-5

  • Online ISBN: 978-3-642-45318-2

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