Using RoboCup in university-level computer science education

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Using RoboCup in university-level computer science education

Full text

Pdf (324 KB)

Source

Journal on Educational Resources in Computing (JERIC) archive
Volume 4 , Issue 2 (June 2004) table of contents
Special issue on robotics in undergraduate education. Part 1

Article No. 4

Year of Publication: 2004

ISSN:1531-4278

Authors

Elizabeth Sklar	Brooklyn College, City University of New York
Simon Parsons	Brooklyn College, City University of New York
Peter Stone	University of Texas at Austin

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 9, Downloads (12 Months): 173, Citation Count: 3

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTex EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1071620.1071624 What is a DOI?

ABSTRACT

In the education literature, team-based projects have proven to be an effective pedagogical methodology. We have been using RoboCup challenges as the basis for class projects in undergraduate and masters level courses. This article discusses several independent efforts in this direction and presents our work in the development of shared resources and evaluation instruments. We outline three courses and describe related class projects in order to make the context of our investigation clear and make it possible for others to replicate and extend our work as well as contribute to the shared resource.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Anderson, J., Baltes, J., Livingston, D., Sklar, E., And Tower, J. 2003. Toward an undergraduate league for RoboCup. In Proceedings of RoboCup-2003 Conference: Robot Soccer World Cup VII.
	2	Ronald C. Arkin, An Behavior-based Robotics, MIT Press, Cambridge, MA, 1998
	3	Asimov, I. 1950. I, Robot. Doubleday, Garden City, NY.
	4	Tucker Balch , Zia Khan , Manuela Veloso, Automatically tracking and analyzing the behavior of live insect colonies, Proceedings of the fifth international conference on Autonomous agents, p.521-528, May 2001, Montreal, Quebec, Canada [doi>10.1145/375735.376434]
	5	Dave Baum , Rodd Zurcher, Dave Baum's Definitive Guide to Lego Mindstorms, APress L. P., 1999
	6	Dave Baum , Michael Gasperi , Luis Villa, Extreme Mindstorms, Apress, Berkely, CA, 2000
	7	Birk, A. 1998. Behavior-based robotics, its scope and its prospects. In Proceedings of The 24th Annual Conference of the IEEE Industrial Electronics Society. IEEE Press.
	8	Birk, A. 2001. Autonomous systems. http://www.faculty.iu-bremen.de/birk/lectures/COURSES/autosys.html
	9	BotBall. 2005. http://www.botball.org
	10	Braitenberg, V. 1984. Vehicles: Experiments in Synthetic Psychology. MIT Press, Cambridge, MA.
	11	Bratman, M. E., Israel, D. J., And Pollack, M. E. 1988. Plans and resource bounded practical reasoning. Computational Intelligence 4 (1988), 349-355.
	12	BrickOS. 2004. BrickOS at SourceForge. http://brickos.sourceforge.net.
	13	Brooks, R. A. 1986. A robust layered control system for a mobile robot. IEEE J. of Robotics and Automation 2, 1 (1986).
	14	Rodney A. Brooks, Intelligence without representation, Artificial Intelligence, v.47 n.1-3, p.139-159, Jan. 1991 [doi>10.1016/0004-3702(91)90053-M ]
	15	Colorni, A., Dorigo, M., And Maniezzo, V. 1992. An investigation of some properties of an ant algorithm. In Proceedings of the Parallel Problem Solving from Nature Conference (PPSN 92). R. Maner and B. Manderick, eds. Elsevier, New York.
	16	Coradeschi, S. 2000. TDDA 14: Artificial intelligence programming. http://www.ida.liu.se/~silco/AIP/.
	17	Silvia Coradeschi , Jacek Malec, How to Make a Challenging AI Course Enjoyable Using the RoboCup Soccer Simulation System, RoboCup-98: Robot Soccer World Cup II, p.120-124, January 1999
	18	Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, July 2002
	19	Handy Board. 2003. The handy board. http://www.handyboard.com.
	20	Harvey, I., Husbands, P., And Cliff, D. 1992. Issues in evolutionary robotics. Cognitive Science Research Tech. Rep. Paper Serial CSRP 219. Univ. of Sussex School of Cognitive and Computing Sciences, Brighton, UK.
	21	Heintz, F. 2000. RoboSoc, a system for developing RoboCup agents for educational use. M.S. thesis, Dept. of Computer and Information Science, Linköpings Univ.
	22	Hiroaki Kitano , Minoru Asada , Yasuo Kuniyoshi , Itsuki Noda , Eiichi Osawa, RoboCup: The Robot World Cup Initiative, Proceedings of the first international conference on Autonomous agents, p.340-347, February 05-08, 1997, Marina del Rey, California, United States [doi>10.1145/267658.267738]
	23	Frank Klassner, A case study of LEGO Mindstorms'™ suitability for artificial intelligence and robotics courses at the college level, Proceedings of the 33rd SIGCSE technical symposium on Computer science education, February 27-March 03, 2002, Cincinnati, Kentucky
	24	Klassner, F. And Anderson, S. 2003. LEGO Mindstorms: Not just for K-12 anymore. IEEE Robotics and Automation. (June 2003).
	25	Kuhlmann, G., Stone, P., And Lallinger, J. 2005. The UT Austin Villa 2003 champion simulator coach: A machine learning approach. In RoboCup-2004: Robot Soccer World Cup VIII. D. Nardi et al. eds. Springer Verlag, Berlin, 636-644.
	26	Guilio Ferrari , Jurgen Stuber , Andy Gombos , Dario Laverde, Programming Lego Mindstorms with Java with CD-ROM, Syngress Publishing, 2002
	27	LEGO Mindstorms. 2005. http://www.legomindstorms.com.
	28	Littman, M. 1999. CPS196: Programming under uncertainty. http://www.cs.duke.edu/~mlittman/courses/cps196/.
	29	Henrik Hautop Lund , Luigi Pagliarini, Robot Soccer with LEGO Mindstorms, RoboCup-98: Robot Soccer World Cup II, p.141-151, January 1999
	30	Martin, F. 1989. 6.270: The MIT LEGO Robot Design Project Competition. http://web.mit.edu/6.270/www/2004/about/history.html.
	31	Martin, F. 1996. Kids learning engineering science using LEGO and the programmable brick. In Proceedings of the Conference of the American Educational Research Association (AERA-1996).
	32	Fred G. Martin, Robotic Explorations: A Hands-on Introduction to Engineering, Prentice Hall PTR, Upper Saddle River, NJ, 2000
	33	Fred Martin , Bakhtiar Mikhak , Mitchel Resnick , Brian Silverman , Robbie Berg, To mindstorms and beyond: evolution of a construction kit for magical machines, Robots for kids: exploring new technologies for learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2000
	34	Mataric, M. J. 1994. Reward functions for accelerated learning. In Machine Learning: Proceedings of the Eleventh International Conference. W. W. Cohen and H. Hirsh, eds. Morgan Kaufmann.
	35	Mataric, M. J. 1997. Behavior-based control: Examples from navigation, learning, and group behavior. J. Experimental and Theoretical Artificial Intelligence. Special Issue on Software Architectures for Physical Agents 9 (1997), 2-3.
	36	Mataric, M. J. 1998. CS 445 introduction to robotics, a LEGO-kit-based hands-on lab course. http://www-scf.usc.edu/~csci445/.
	37	Philip Mckerrow, Introduction to Robotics, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1991
	38	Mindsensors. 2005. http://www.mindsensors.com.
	39	Minsky, M. 1987. Society of Mind. Picador.
	40	Nils J. Nilsson, Artificial intelligence: a new synthesis, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1998
	41	Noda, I., Matsubara, H., Hiraki, K., And Frank, I. 1998. Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence 12 (1998), 233-250.
	42	Itsuki Noda , Peter Stone, The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research, Autonomous Agents and Multi-Agent Systems, v.7 n.1-2, p.101-120, July-September 2003
	43	NQC. 2005. Not Quite C. http://bricxcc.sourceforge.net/nqc/ .
	44	Parsons, S. 2002. COMS W4701: Artificial intelligence. http://www.cs.columbia.edu/~sp/4701-2.html.
	45	Parsons, S. 2005. CIS 32/CIS 716: Artificial intelligence. http://www.sci.brooklyn.cuny.edu/~parsons/courses/courses.html.
	46	RoboCup. 2005. http://www.robocup.org
	47	RoboCup JUNIOR. 2005. http://www.robocupjunior.org
	48	RoboCup Soccer Simulator. 2004. The RoboCup soccer simulator. http://sserver.sourceforge.net.
	49	Stuart J. Russell , Peter Norvig, Artificial intelligence: a modern approach, Prentice-Hall, Inc., Upper Saddle River, NJ, 1995
	50	Simmons, R. 1994. Structured control for autonomous robots. IEEE Trans. on Robotics and Automation 10, 1 (Feb. 1994), 34-43.
	51	Sklar, E. 2001. MC375: Introduction to robotics. http://www1.cs.columbia.edu/~sklar/teaching/spring2001/mc375/default.html.
	52	Sklar, E. 2004. A long-term approach to improving human-robot interaction: RoboCupJunior Rescue. In Proceedings of the International Conference on Robotics and Automation (ICRA).
	53	Sklar, E. And Eguchi, A. 2004. RoboCupJunior - Four years later. In Proceedings of the Eighth International RoboCup Symposium.
	54	Sklar, E., Eguchi, A., And Johnson, J. H. 2002. RoboCupJunior: Learning with educational robotics. In Proceedings of RoboCup-2002: Robot Soccer World Cup VI.
	55	Sklar, E., Johnson, J. H., And Lund, H. H. 2000. Children learning from team robotics: RoboCupJunior 2000 Educational Research Report. Tech. Rep., The Open University, Milton Keynes, UK.
	56	Sklar, E. And Parsons, S. 2002. RoboCupJunior: A vehicle for enhancing technical literacy. In Proceedings of the AAAI-02 Mobile Robot Workshop.
	57	Stone, P. 2002. CS378: Autonomous agents and multiagent systems. http://www.cs.utexas.edu/~pstone/Courses/378fall02.
	58	Stone, P. 2004a. CS378: Autonomous agents and multiagent systems. http://www.cs.utexas.edu/~pstone/Courses/378spring04.
	59	Stone, P. 2004b. RoboCup as an introduction to CS research. In RoboCup-2003: Robot Soccer World Cup VII. D. Polani, eds. Springer Verlag, Berlin.
	60	Vidal, J.M. And Buhler, P. 2002. Teaching multiagent systems using RoboCup and biter. The IMEJ of Computer-Enhanced Learning 4, 2 (2002).
	61	Watson, R. A., Ficici, S. G., And Pollack, J. B. 1999. Embodied evolution: Embodying an evolutionary algorithm in a population of robots. In Proceedings of the 1999 Congress on Evolutionary Computation (CEC-99).
	62	Wiltronics. 2003. Wiltronics Research Pty Ltd. http://www.wiltronics.com.au.
	63	Yanco, H. 2002. 91.450: Robotics I. http://www.cs.uml.edu/~holly/91.450/.

CITED BY 3

	Li Xu, Language engineering in the context of a popular, inexpensive robot platform, ACM SIGCSE Bulletin, v.40 n.1, March 2008
	Li Xu, A modular approach to language engineering using XML and inexpensive robots, Journal of Computing Sciences in Colleges, v.23 n.5, p.133-141, May 2008
	Elizabeth Sklar , Debbie Richards, The use of agents in human learning systems, Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, May 08-12, 2006, Hakodate, Japan