Hostname: page-component-77c89778f8-vpsfw Total loading time: 0 Render date: 2024-07-17T21:53:37.210Z Has data issue: false hasContentIssue false

An Intelligent Part Sorting Robot in Unstructured Manufacturing Environments

Published online by Cambridge University Press:  09 March 2009

M. Mehdian
Affiliation:
Robotics and Machine Intelligence Group, School of Engineering, Thames Polytechnic, wellington Street, Woolwich, London SE18 6PF (UK).
H. Rahnejat
Affiliation:
On-line Surveillance, Monitoring and Diagnostics Unit, School of Mechanical, Aeronautical and Production Engineering, Kingston Polytechnic, Canbury Park Road, Kingston, Surrey (UK).

Summary

This paper outlines a method for control of robotic systems for part sorting operations in unstructured manufacturing environments. The sorting is accomplished simply and without any change in the kinematic structure of the robot or any need for inclusion of complicated external sensory systems. The method developed is based on the inherent relationship between the mass of parts to be carried and the maximum velocity of the tool centre point attainable along certain specified paths.

The actuators' maximum velocity is detected and is communicated to a devised expert system. The expert system uses this maximum velocity as a part of its matching procedure for the purpose of part sorting.

Type
Article
Copyright
Copyright © Cambridge University Press 1992

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Rahnejat, H., “Simulating for resource optimization in robot-assisted automatic assemblyProc. Instn. Mech. Engrs. 200, No. B/B3, 181186 (08, 1986).CrossRefGoogle Scholar
2.Rahnejat, H., “Simulation aids design for flexible automationInt. J. AMT 1(2), 91108 (02, 1986).Google Scholar
3.Scheid, W.M., “Latest developments in computer controlled order picking plantsProc. 7th Int. Conf. on Automation in Warehousing259265 (10 1986).Google Scholar
4.Monara, R., Giuffre, O. and Cavagnaro, F., “A generalized approach to the problem of FMs on-line managementProc. 3rd Int. Conf. on FMs413424 (1983).Google Scholar
5.Stern, H.J., “Parts location and optimal picking rules for a carousel conveyor automatic storage and retrieval systemProc. 7th Int. Conf. on Automation in Warehousing185193 (10, 1986).Google Scholar
6.Mehdian, M., Hall, A.R. and Rahnejat, H., “Object Recognition with tactile sensing using an intelligent local feature focus methodologyInt. J. Advanced Manufacturing Technology 5, 165174 (1990).CrossRefGoogle Scholar
7.Oshima, M. and Shirai, Y., “Object recognition using three dimensional informationIEEE Trans, Pattern Recognition Annals of Machine Intelligence PAMI-5, No. 4, 353361 (07, 1983).Google ScholarPubMed
8.Foroughi, F., Rahnejat, H. and Bera, H., “Tactile sensors for robot handlingProc. Isst. Mech. Eng. Part B (GB) 201, No. B/B1, 5158 (1987).CrossRefGoogle Scholar
9.Mehdian, M. and Rahejat, H., “A tactile sensor with automatic learning capability for industrial part inspectionInt. J. AMT 2(4), 1126 (11, 1987).Google Scholar
10.Warnecke, H.J., Schraft, R.D., Abele, E. and Spingler, J., “Flexible assembly system for unmanned factory4th Int. Conf. on Assembly Automation,Tokyo,Oct., 1983,Programmable Assembly (IPS Publications, Bedford, 1984) pp. 45–52.Google Scholar
11.Butcher, A. and Fehrenbach, P., “A computer controlled reconfigurable gripper” Proc. 15th CIRP, Int. Sem. on Mannf. Systems Amherst, USA, 06, 1983), Programmable Assembly (IPS Publications, Bedford, 1984) pp. 257266.Google Scholar
12.Mitchell, I., Whitehead, D. and Pugh, A., “A multiprocessor system for sensory robotic assemblySensor Review 9496 (04, 1983).CrossRefGoogle Scholar
13.Heginbotham, W.B. (Ed.), Robot Grippers (IFS Publications, Bedford, 1986).Google Scholar
14.Boathroyd, G. and Dewhurst, P., “Part presentation and feeding for robot assemblyProc. Conf. on Gen. Assembly of Int. Institute for Prod. Eng. Res.377381, Brugge, Belgium (1982).CrossRefGoogle Scholar
15.Schroder, M. and Bosch, R., “Meeting a variety of future needs with flexible assembly” Wt. Z. Ind. Fertig 71, 1981, Programmable Assembly (IPS Publications, Bedford, 1984) pp. 1121.Google Scholar
16.Paul, R.P., Robot manipulators: Mathematics, Programming and Control (MIT Press, Boston, MASS., 1982).Google Scholar
17.Luh, J., Walker, M. and Paul, R.P., “Resolved acceleration control of mechanical manipulatorsIEEE Trans, on Automatic Contr. No. 3, 468474 (06, 1980).Google Scholar
18.Finn, A., Fundamental University Physics (Addison Wesley Publishing Co., Wokingham, Berks., 1974).Google Scholar
19.Mehdian, M., “Robot design and control” MSc Thesis, South Bank Polytechnic (CNAA) (09, 1986).Google Scholar
20.Lin, Ching-Fang, “Advanced controller design for robot armsIEEE Trans on Automatic Control AC-29, No. 4, 350353 (1984).Google Scholar