Title :
Fuzzy representation of grasping modes
Author :
Aydin, Kubilay Kaan
Author_Institution :
Dept. of Ind. Eng., Middle East Tech. Univ., Ankara, Turkey
Abstract :
Robot hands are preshaped according to a selected grasping mode before the actual grasping action. Grasping modes depend on the kinematic structure of the robot hand, the geometry and physical properties of the target object, along with information on the goal of the task. A fuzzy representation of grasping modes is presented in this paper. Properties of target objects and task primitives are mapped onto various grasp features which are used as membership functions for the fuzzy sets representing the grasping modes. The relations of object and task features with the grasping modes can be investigated by examining the presented fuzzy representation
Keywords :
computational geometry; feature extraction; fuzzy control; fuzzy set theory; knowledge representation; manipulator kinematics; fuzzy representation; fuzzy set theory; grasp features; grasping modes; kinematic structure; membership functions; robot hands; task primitives; Computational geometry; Fingers; Fuzzy sets; Grasping; Humans; Industrial engineering; Information geometry; Kinematics; Service robots; Shape;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.550987