Support vector data description for calibration monitoring of remotely located microrobotic system

Journal of Manufacturing Systems

Volumn 25, Issue 3, 2006, Pages 196-208

  Cho, Hyun Woo ^a   Jeong, Myong K ^a   Kwon, Yongjin ^b  

^a University of Tennessee   (United States)

^b Ajou University   (South Korea)

Author keywords

Ethernet Vision System; Micro Precision Robot; Remote Calibration; Support Vector Data Description (SVDD)

Indexed keywords

DATA DESCRIPTION; ETHERNET; IMAGE SEGMENTATION; INFORMATION SERVICES; MINIATURE INSTRUMENTS; PLANNING; PRINCIPAL COMPONENT ANALYSIS; PRODUCTION CONTROL; ROBOTICS; ROBOTS; SENSOR NETWORKS; VECTORS;

AUTOMATED INFORMATIONS; CALIBRATION DATUM; CURRENT TRENDS; DECISION BOUNDARIES; EFFICIENT PRODUCTIONS; ETHERNET VISION SYSTEM; HIGH PRECISION; HIGH-DIMENSIONAL SPACES; MICRO-PRECISION ROBOT; NEAREST NEIGHBORS; NON-PARAMETRIC; NONLINEAR KERNEL FUNCTIONS; ONE-CLASS CLASSIFICATIONS; POSITIONAL ACCURACIES; POSITIONING ACCURACIES; PRINCIPAL COMPONENTS; PRIOR KNOWLEDGE; PRODUCT MINIATURIZATIONS; REMOTE CALIBRATION; REMOTE MONITORING; SAMPLE DISTRIBUTIONS; SUPPORT VECTOR DATA DESCRIPTION (SVDD); SUPPORT VECTOR DATA DESCRIPTIONS; TECHNICAL LIMITATIONS;

CALIBRATION;

EID: 59849124858     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0278-6125(07)80009-4     Document Type: Article

References (45)

1. Abderrahim M., and Whittaker A.R. Kinematic model identification of industrial manipulators. Journal of Robotics and Computer-Integrated Mfg. v16 (2000) 1-8
2. Albada G.D.V., Lagerberg J.M., and Visser A. Eye in hand robot calibration. Industrial Robot v21 n6 (1994) 14-17
3. Amavasai B.P., Caparrelli F., and Selvan A. Machine vision methods for autonomous micro-robotic systems. Kybernetes v34 n9/10 (2005) 1421-1439
4. Andreff N., Renaud P., Martinet P., and Pierrot F. Vision-based kinematic calibration of an H4 parallel mechanism: practical accuracies. Industrial Robot v31 n3 (2004) 273-283
5. Braggins D. A critical look at robot vision. Industrial Robot v22 n6 (1995) 9-12
6. Center for Intelligent Maintenance Systems. Univ. of Michigan. (2005). http://wumrc.engin.umich.edu/research/_file/ims.html
7. Cohen A. Simulation Based Design, DARPA Plus-Up Workshop on SBD Alpha Release, (DARPA/TTO Program) (1997)
8. Connolly C. Vision enabled robotics. Industrial Robot v32 n6 (2005) 456-459
9. Connolly C. A new integrated robot vision system from FANUC Robotics. Industrial Robot v34 n2 (2007) 103-106
10. Cortes C., and Vapnik V.N. Support vector networks. Machine Learning v20 (1995) 273-297
11. Goldin D., Venneri S., and Noor A. New frontiers in engineering. Mechanical Engg. v120 n2 (1998) 63-69
12. Goldin D., Venneri S., and Noor A. Ready for the future?. Mechanical Engg. v121 n11 (1999) 61-70
13. González-Galván E.J., Cruz-Ramírez S.R., Seelinger M.J.S., and Cervantes-Sánchez J.J. An efficient multi-camera, multi-target scheme for the three-dimensional control of robots using uncalibrated vision. Journal of Robotics and Computer-Integrated Mfg. v19 n5 (2003) 387-400
14. Greenway B. Robot accuracy. Industrial Robot v27 n4 (2000) 257-265
15. Hidalgo F., and Brunn P. Robot metrology and calibration systems - a market review. Industrial Robot v25 n1 (1998) 42-47
16. High-Accuracy Positioning System User's Guide (2004). Version 2.0. Adept Technology, Inc. www.adept.com
17. Hosek M., and Bleigh T. Brooks automation expands control capability of precision industrial robots. Industrial Robot v29 n4 (2002) 334-348
18. Iung B. From remote maintenance to MAS-based e-maintenance of an industrial process. Journal of Intelligent Mfg. v14 n1 (2003) 59-82
19. Janocha H., and Diewald B. ICAROS: over-all-calibration of industrial robots. Industrial Robot v22 n3 (1995) 15-20
20. Jiang C.B., Black JT., and Duraisamy R. A review of recent developments in robot metrology. Journal of Manufacturing Systems v7 n4 (1988) 339-357
21. Kwon Y., Rauniar S., Chiou R., and Sosa H. Remote control of quality using Ethernet vision & web-enabled robotic system. Journal of Concurrent Engg.: Research and Applications v14 n1 (2006) 35-42
22. Kwon Y., Wu T., and Ochoa J. SMWA: A CAD-based decision support system for the efficient design of welding. Int'l Journal of Concurrent Engg.: Research & Applications v12 n4 (2004) 295-304
23. Lee J. e-manufacturing systems: fundamental and tools. Journal of Robotics and Computer-Integrated Mfg. v9 n6 (2003) 501-507
24. Lin G.C.I., and Lu T.-F. Vision and force/torque sensing for calibration of industrial robots. Industrial Robot v24 n6 (1997) 440-445
25. Lippiello V., Villani L., and Siciliano B. An open architecture for sensory feedback control of a dual-arm industrial robotic cell. Industrial Robot v34 n1 (2007) 46-53
26. Lohse N., Ratchev S., and Valtchanov G. Towards Web-enabled design of modular assembly systems. Assembly Automation v24 n3 (2004) 270-279
27. Meng Y., and Zhuang H. Self-calibration of camera-equipped robot manipulators. Int'l Journal of Robotics Research v20 n11 (2001) 909-921
28. Meng Y., and Zhuang H. Autonomous robot calibration using vision technology. Journal of Robotics and Computer-Integrated Mfg. v23 (2007) 436-446
29. Motta J.M.S.T., de Carvalho G.C., and McMaster R.S. Robot calibration using a 3D vision-based measurement system with a single camera. Journal of Robotics and Computer-Integrated Mfg. v17 n6 (2001) 487-497
30. Pena-Cabrera M., Lopez-Juarez I., Rios-Cabrera R., and Corona-Castuera J. Machine vision approach for robotic assembly. Assembly Automation v25 n3 (2005) 204-216
31. Perks A. Advanced vision guided robotics provide 'future-proof' flexible automation. Assembly Automation v26 n3 (2006) 216-220
32. Qin S.J. Statistical process monitoring: basics and beyond. Journal of Chemometrics v17 (2003) 480-502
33. Ratchev S., and Lohse N. Data modelling for Web enabled design of modular precision assembly devices. Assembly Automation v24 n1 (2004) 63-70
34. Review of techniques (1998). http://www.mech.uwa.edu.au/jpt/CalibrationPages/Menul.htm Robotics and automation research at Univ. of Western Australia. Dec. 1998
35. Robot calibration (1998). http://www.mech.uwa.edu.au/jpt/calibration.html Robotics and automation research at Univ. of Western Australia. Dec. 1998
36. Rooks B. Machine tending in the modern age. Industrial Robot v30 n4 (2003) 313-318
37. Schölkopf B., Smola A.J., and Müller K. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation v10 (1998) 1299-1319
38. Schroer K., Albright S.L., and Grethlein M. Complete, minimal and model-continuous kinematic models for robot calibration. Journal of Robotics and Computer-Integrated Mfg. v13 (1997) 73-85
39. Shen W., and Norrie D.H. Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowledge and Information Systems v1 n2 (1999) 129-156
40. Tax D.M.J., and Duin R.P.W. Support vector data description. Machine Learning v54 (2004) 45-66
41. Wilson W.J., Hulls C.C., and Janabi-Sharifi F. Robust image processing and position-based visual servoing. Ch. 13. In: Vincze M., and Hager G.D. (Eds). Robust Vision for Vision-Based Control of Motion (2000), IEEE Press, New York
42. Wright P.K. 21st Century Manufacturing (2001), Prentice-Hall, Upper Saddle River, NJ
43. Young K., and Pickin C.G. Accuracy assessment of the modern industrial robot. Industrial Robot v27 n6 (2000) 427-436
44. Zhang M.T., and Goldberg K. Fixture-based industrial robot calibration for silicon wafer handling. Industrial Robot v32 n1 (2005) 43-48
45. Zhang M., Tao W., Fisher W., and Tarn T.-J. An industrial solution to automatic robot calibration and workpiece pose estimation for semiconductor and gene-chip microarray fabrication. Industrial Robot v33 n2 (2006) 88-96