Fuzzy logic path planning for the robotic placement of fabrics on a work table

Robotics and Computer-Integrated Manufacturing

Volumn 24, Issue 2, 2008, Pages 174-186

  Zoumponos, G T ^a   Aspragathos, N A ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Fabric handling; Fuzzy systems; Motion planning; Subtractive clustering

Indexed keywords

BACKPROPAGATION; CLUSTERING ALGORITHMS; DATA ACQUISITION; FUZZY LOGIC; FUZZY SETS; GRIPPERS; ROBOTICS;

FABRIC HANDLING; NEURO-FUZZY SYSTEM; SUBTRACTIVE CLUSTERING;

MOTION PLANNING;

EID: 36148993518     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2006.10.001     Document Type: Article

References (13)

1. Saadat M., and Nan P. Industrial applications of automatic manipulation of flexible materials. Ind Robot 29 (2002) 434-442
2. Ono E, Okabe H, Akami H, Aisaka N. Robot hand for handling cloth. In: IEEE fifth international conference on advanced robotics, 1991. p. 769-74.
3. Gunner M.B., and Taylor P.M. Placing fabrics onto moving surfaces. Int J Clothing Sci Technol 2 (1990) 56-64
4. Paraschidis K., Fahantidis N., Petridis V., Doulgeri Z., Petrou L., and Hasapi G. A robotic system for handling textile and non rigid flat materials. Comput Ind 26 (1995) 303-313
5. Eischen J.W., and Kim Y.G. Optimization of fabric manipulation during pick/place operations. Int J Clothing Sci Technol 5 (1993) 68-76
6. Paul F.W. Acquisition, placement, and folding of fabric materials. Int J Clothing Sci Technol 16 (2004) 227-237
7. Eischen JW(team leader). Computer-aided engineering and mechatronics in the design of apparel equipment. National Textile Center annual reports, 1995-1997.
8. Zoumponos GT, Aspragathos NA. A fuzzy robot controller for the placement of fabrics on a work table. IFAC 2005.
9. Paiva R.P., and Dourado A. Interpretability and learning in neuro-fuzzy systems. Fuzzy Sets Syst 147 (2004) 17-38
10. Chiu S.L. Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2 (1994) 267-278
11. Shi Y., and Mizumoto M. Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method. Fuzzy Sets Syst 112 (2000) 51-63
12. Shi Y., and Mizumoto M. A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules. Fuzzy Sets Syst 112 (2000) 99-116
13. Cassidy T., Cassidy C., Cassie S., and Arkison M. The stiffness of knitted fabrics: a new approach to the measurement of bending-part 1: development. Int J Clothing Sci Technol 3 (1991) 14-19