Abstract
This paper presents an experimental study using two robots. In the experiment, the robots navigated through an area with or without obstacles and had the goal to shift places with each other. Four different approaches (random, reactive, planning, anticipation) were used during the experiment and the times to accomplish the task were compared. The results indicate that the ability to anticipate the behavior of the other robot can be advantageous. However, the results also clearly show that anticipatory and planned behavior are not always better than a purely reactive strategy.
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References
Arkin, R.: Motor schema-based mobile robot navigation. International Journal of Robotics Research 8(4), 92–112 (August 1989)
Balkenius, C.: Natural Intelligence in Artificial Creatures. Lund University Cognitive Studies 37 (1995)
Balkenius, C., Johansson, B.: Event prediction and object motion estimation in the development of visual attention, In: Berthouze, L., Kaplan, F., Kozima, H., Yano, H., Konczak, J., Metta, G., Nadel, J., Sandini, G., Stojanov, G., Balkenius, C. (eds.) Fifth International Conference on Epigenetic Robotics, pp. 17–22 (2005)
Behnke, S., Egorova, A., Gloye, A., Rojas, R., Simon, M.: Predicting away robot control latency. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003. LNCS (LNAI), vol. 3020, pp. 712–719. Springer, Heidelberg (2004)
Boutilier, C.: Planning, learning and coordination in multiagent decision processes. In: Sixth Conference on Theoretical Aspects of Rationality and Knowledge, pp. 195–210 (1996)
Brooks, R.A.: Cambrian intelligence: the early history of the new ai. MIT Press, Cambridge (1999)
Brooks, R.: A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, RA 2(1), 14–23 (1986)
Brooks, R.A.: Intelligence Without Reason. In: Myopoulos, J., Reiter, R. (eds.) IJCAI 1991. Proceedings of the 12th International Joint Conference on Artificial Intelligence, Sydney, Australia, pp. 569–595. Morgan Kaufmann publishers Inc., San Mateo, CA, USA (1991)
Davidsson, P.: Learning by linear anticipation in multi-agent systems. Distributed Artificial Intelligence Meets Machine Learning 1221, 62–72 (1996)
Erdmann, M., Lozano-Perez, T.: On multiple moving objects. Algorithmica 2, 477–521 (April 1987)
Guo, Y., Parker, L.: A distributed and optimal motion planning approach for multiple mobile robots. In: Proceedings IEEE International Conference on Robotics and Automation (2002)
Hart, N.J.R.B., Nilsson, P.E.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics SSC4 2, 100–107 (1968)
Korein, J.U., Ish-Shalom, J.: Robotics. IBM Systems Journal 1, 96–106 (1987)
Laird, J.E.: It knows what you’re going to do: Adding anticipation to a quakebot. In: Proceedings of the Fifth International Conference on Autonomous Agents, Canada, pp. 385–392. ACM Press, New York (2001)
Ledezma, S.A.B.D.A., Aler, R.: Predicting opponent actions by observation, RobuCup 2004, pp. 286–296 (2004)
Saad, F.: In-depth analysis of interactions between drivers and the road environment: contribution of on-board observation and subsequent verbal report, In: Proceedings of the 4th Workshop of international cooperation on theories and concepts in traffic safety, University of Lund (1992)
Sabanovic, M.M.S.R.S.: Robots in the wild: Observing human-robot social interaction outside the lab. In: International Workshop on Advanced Motion Control, Istanbul, Turkey (March 2006)
Sen, S., Sekaran, M., Hale, J.: Learning to coordinate without sharing information. In: Proceedings of the Twelfth National Conference on Artificial Intelligence, 1997, pp. 509–514 (Reprinted from Proceedings of the NationalConference on Artificial Intelligence (1994)
Sharifi, H. A. A., Mousavian, M.: Predicting the future state of the robocup simulation environment: heuristic and neural networks approaches,Systems, Man and Cybernetics, vol. 1, pp. 32–27 ( 2003)
Stulp, M.B.M., Isik, F.: Implicit coordination in robotic teams using learned prediction models. In: IEEE International Conference on Robotics and Automation (2006)
Thrun, S., Gutmann, J.-S., Fox, D., Burgard, W., Kuipers, B.: Integrating topological and metric maps for mobile robot navigation: A statistical approach. In: AAAI/IAAI, pp. 989–995 (1998)
Veloso, M., Stone, P., Bowling, M.: Anticipation as a key for collaboration in a team of agents: A case study in robotic soccer. In: Schenker, P.S., McKee, G.T. (eds.) Proceedings of SPIE Sensor Fusion and Decentralized Control in Robotic Systems II, Bellingham, vol. 3839, pp. 134–143 (September 1999)
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Johansson, B., Balkenius, C. (2007). An Experimental Study of Anticipation in Simple Robot Navigation. In: Butz, M.V., Sigaud, O., Pezzulo, G., Baldassarre, G. (eds) Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2006. Lecture Notes in Computer Science(), vol 4520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74262-3_20
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DOI: https://doi.org/10.1007/978-3-540-74262-3_20
Publisher Name: Springer, Berlin, Heidelberg
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