Title :
Design method for an anthropomorphic hand able to gesture and grasp
Author :
Cerruti, Giulio ; Chablat, Damien ; Gouaillier, David ; Sakka, Sophie
Author_Institution :
Inst. de Rech. en Commun. et Cybernetique de Nantes (IRCCyN), Nantes, France
Abstract :
This paper presents a numerical method to conceive and design the kinematic model of an anthropomorphic robotic hand used for gesturing and grasping. In literature, there are few numerical methods for the finger placement of human-inspired robotic hands. In particular, there are no numerical methods, for the thumb placement, that aim to improve the hand dexterity and grasping capabilities by keeping the hand design close to the human one. While existing models are usually the result of successive parameter adjustments, the proposed method determines the fingers placements by mean of empirical tests. Moreover, a surgery test and the workspace analysis of the whole hand are used to find the best thumb position and orientation according to the hand kinematics and structure. The result is validated through simulation where it is checked that the hand looks well balanced and that it meets our constraints and needs. The presented method provides a numerical tool which allows the easy computation of finger and thumb geometries and base placements for a human-like dexterous robotic hand.
Keywords :
dexterous manipulators; numerical analysis; anthropomorphic robotic hand; design method; dexterity capabilities; finger placement; gesture; grasp; grasping capabilities; hand kinematics; hand structure; human inspired robotic hands; human-like dexterous robotic hand; kinematic model; numerical method; parameter adjustments; workspace analysis; Bones; Grasping; Joints; Kinematics; Robots; Thumb; Wrist; Kapandji test; gesture; grasping; hand dexterity; robotic hand; thumb opposability;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7139707