Biologically inspired robot grasping using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Fernandez:1998:ICRA,

• author = "Jaime J. Fernandez and Ian D. Walker",
• title = "Biologically inspired robot grasping using genetic programming",
• booktitle = "Proceedings. 1998 IEEE International Conference on Robotics and Automation",
• year = "1998",
• volume = "4",
• pages = "3032--3039",
• address = "Leuven, Belgium",
• month = may,
• keywords = "genetic algorithms, genetic programming",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.596.1632",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.596.1632",
• URL = "http://aass.oru.se/~tdt/ml/extra-readings/bio_inspired_robot_grasping.pdf",
• DOI = "doi:10.1109/ROBOT.1998.680891",
• size = "8 pages",
• abstract = "This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multi-fingered robot hands. The goal of our algorithm is to select a best grasp of an object, given some information about the object geometry and some user-defined fitness functions which intuitively delineate good from bad grasp qualities. The fitness functions are used by the specially designed genetic algorithm, which iteratively selects the grasp. The approach is biologically inspired both in the use of the genetic algorithm to evolve populations of candidate grasps, and in the choice of fitness functions, which adapt intuition from nature to guide the evolution process",
• notes = "also known as \cite{680891} Cat. No.98CH36146",

}

Genetic Programming entries for Jaime Fernandez Ian D Walker

Citations