Visual checking of grasping positions of a three-fingered robot hand

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2130, Issue , 2001, Pages 891-898

  Heidemann, Gunther ^a   Ritter, Helge ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; ROBOTIC ARMS;

COMPUTER VISION SYSTEM; DEFINING SETS; ROBOT HAND; VISUAL CHECKING;

COMPUTER VISION;

EID: 84958965544     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44668-0_123     Document Type: Conference Paper

References (14)

1. AMP Incorporated, Valley Forge, PA 19482. Piezo Film Sensors Technical Manual, 1993.
2. G. Canepa, M. Campanella, and D. de Rossi. Slip detection by a tactile neural network. In Proc. ICIROS 94, volume 1, pages 224–231, 1994.
3. G. Heidemann and H.J. Ritter. Efficient Vector Quantization using the WTA-rule with Activity Equalization. Neural Processing Letters, 13(1):17–30, 2001.
4. G. Heidemann. Ein flexibel einsetzbares Objekterkennungssystem auf der Basis neuronaler Netze. PhD thesis, Univ. Bielefeld, Techn. Fak., 1998. Infix, DISKI 190.
5. R.D. Howe and M.R. Cutkosky. Dynamic tactile sensing: Perception of fine surface features with stress rate sensing. IEEE Transactions on Robotics and Automation, 9(2):140–150, 1993.
6. Interlink Electronics, Europe, Echternach, G.D. de Luxemburg. The force sensing resistor, 1990.
7. Ján Jockusch. Exploration based on Neural Networks with Applications in Manipulator Control. PhD thesis, Universität Bielefeld, Technische Fakult¨at, 2000.
8. T. Kohonen. Self-organization and associative memory. In Springer Series in Information Sciences 8. Springer-Verlag Heidelberg, 1984.
9. H. Liu, P. Meusel, and G. Hirzinger. A tactile sensing system for the DLR threefinger robot hand. In Proc. ISMCR 95, pages 91–96, 1995.
10. R. Menzel, K. Woelfl, and F. Pfeiffer. The development of a hydraulic hand. In 2nd Conf. on Mechatronics and Robotics, pages 225–238, 1993.
11. Robert Rae. Gestikbasierte Mensch-Maschine-Kommunikation auf der Grundlage visueller Aufmerksamkeit und Adaptivität. PhD thesis, Universit¨at Bielefeld, Technische Fakultät, 2000.
12. T.D. Sanger. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks, 2:459–473, 1989.
13. Michael E. Tipping and Christopher M. Bishop. Mixtures of probabilistic principal component analyzers. Neural Computation, 11(2):443–482, February 15 1999.
14. M.E. Tremblay and M.R. Cutkosky. Estimating friction using incipient slip sensing during a manipulation task. In Proc. ICRA 93, volume 1, pages 429–434, 1993.