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An interactive robotic device with progress monitoring

Published online by Cambridge University Press:  09 March 2009

Neal S. Widmer
Affiliation:
Department of Electric Engineering Technology, Purdue University, West Lafayette, IN 47907 (USA)
Shimon Y. Nof
Affiliation:
Department of Industriel Engineering, Purdue University, West Lafayette, IN 47907 (USA)
George R. Karlan
Affiliation:
School of Education, Purdue University, West Lafayette, IN 47907 (USA)

Summary

The purpose of this paper is to describe a system which utilizes an interactive robotic device to help in the educational process of very young disabled children. Within the System the child's performance is monitored and evaluated on line, providing a current prescription for progress to more or less advanced learning levels. The robotic Systems developed at Purdue University during research on this concept are described as well as the prototype Systems to monitor progress of the students

Type
Article
Copyright
Copyright © Cambridge University Press 1992

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References

1.Nof, S.Y., Karlan, G.R. & Widmer, N.S., “Development of a Prototype Interactive Robotic Device For Use by Multiply Handicapped ChildrenProc. of the International Conference of the Association for the Advancement of Rehabilitation Technology,Montreal, Canada456458 (1988).Google Scholar
2.Foulds, R. (Ed.), “Interactive robotic aids – One option for independent living: and international perspective” Monograph 37. New York: World Rehabilitation Fund (1986).Google Scholar
3.Gilbert, M. & Foulds, R., “Robotics at Tufts-New England Medical Center” In: (R. Steele & W. Gerrey Eds.) Proc. of the 10th Annual Conference on Rehabilitation Technology,Washington, D.C.:RESNA Association for the Advancement of Rehabilitation Technology 778780 (1987).Google Scholar
4.Harwin, W.W. & Jackson, R.D., “Towards voice control of robotic aids for disabled” In: (C. Brubaker Ed.), Proc. of the 8th Annual Conference on Rehabilitation Technology,Washington D.C.:RESNA 274276 (1985).Google Scholar
5.Zeelenberg, A.P., “Domestic use of a training robot manipulator by children with muscular dystrophy” Interactive Robotic Aids Monograph 37. New York: World Rehabilitation Fund 2933 (1986).Google Scholar
6.Hoseit, P.C., Liu, K.M. & Cook, A.M., “Development and use of a Robotic Arm System with Very Young, Developmentally Delayed Children” Interactive Robotic Aids Monograph 37. New York: World Rehabilitation Fund 4850 (1986).Google Scholar
7.Chester, D. & Lamb, D., “Rule Based Computer Alarm Analysis in Chemical Process Plants” Proceedings of the 7th annual Micro-Delcon 2229 (1984).Google Scholar
8.Wright, M.L., “HEXCON: A Hybrid Microcomputer-Based Expert System for Real Time Control ApplicationsIEEE Software 3, No. 1 1536 (1987).Google Scholar
9.Lehner, P.E., “On the Role of Artificial Intelligence in Command and Control IEEE Transactions System Mon Cybernetics 16, 824833 (1986).CrossRefGoogle Scholar
10.Conway, R.W. & Schultz, A. Jr., “The Manufacturing Progress functionJ. Industrial Engineering 10, No. 1, 3954 (1959).Google Scholar
11.Globerson, S., “The Influence of Job Related Variables on the Predictability Power of Three Learning Curve ModelsAllE Transactions 12, No. 1, 6469 (1980).Google Scholar
12.Hancock, W.M. & Franklin, H.B. “The Learning Curve” Handbook of Industrial Engineering, (Salvendy, G., ed.) Wiley, 4.3. 113 (1982).Google Scholar
13.Packer, J.S., “An Adaptive Controller for Closed-Loop Management of Blood Pressure in Seriously III PatientsIEEE Transactions on Biomedical Engineering BME 34, No. 8, 612616 (1987).CrossRefGoogle Scholar
14.Zimolong, B., Nof, S.Y., Eberts, R.E. & Salvendy, G., “On the Limits of Expert Systems and Engineering Models in Process ControlBehavior and Information Technology 6, No. 1, 1536 (1987).CrossRefGoogle Scholar
15.Widmer, N.S., “A Knowledge Based Progress Monitor” Thesis, Master of Science, Purdue University (1989).Google Scholar
16. Mitsubishi, “RM-501 Movemaster II Operation Manual” Industrial Micro-robot Implementation System, Mitsubishi Corporation, Inc. (1986).Google Scholar
17. DADA – Designing Aids for Disabled Adults, “PC Serial Aid Version 1.2 Users Manual” DADA Corp. 1024 Dupont Street, Unit 5, Toronto, Ontario, Canada M6H 2A2, 171 (1987).Google Scholar
18. Unicorn Engineering Corp., “Expanded Keypad Model 1 Manual” Unicorn Engineering Corp. 6201 Hardwood Ave., Oakland Ca. 94618 (1987).Google Scholar
19.Widmer, N.S., Nof, S.Y. & Karlan, G.R., “Research Report: Experimental System of IRD-1 Level 1.1 and 1.2” Research Memorandum No. 88–9 Purdue University School of Industrial Engineering 1421 (1988).Google Scholar
20.Karlan, G.R., Nof, S.Y., Widmer, N.S., McEwen, I. & Nail, K., “Research Report of the Clinical Evaluation of the Experimental Interactive Robotic Device (IRD-1) Level 1.2” Research Memorandum No. 88–27 Purdue University School of Industrial Engineering 711 (1988).Google Scholar
21.McCallum, J.C., “Synthetic Instruction Mix for Evaluation of Microprocessor PerformanceIEEE Micro 7, No. 3, 6380 (1987).CrossRefGoogle Scholar
22.Wilhelm, R.G., “Performance Measures For Planning Programmable Assembly Tasks” Thesis, Master of Science in Industrial Engineering, Purdue University Chap. 3, 1322 (1984).Google Scholar
23.Genaidy, A.M. et al. , “An On-Line Microcomputer Based Cardiac Monitoring System”, Int. J. Industrial Ergonomics 1, No. 4, 273283 (1987).CrossRefGoogle Scholar
24.Widmer, N.S. & Nof, S.Y., “Design of a Knowledge Based Performance Progress Monitor” (Submitted to the J. Computers and Industrial Engineering 1990).Google Scholar