A Bio-Mimetic Inter-Articular Coordination Model for Humanoid Graspings
Byoung‐Ho Kim
- Year
- 2006
- Citations
- 13
Abstract
Analyzing the motion behavior of human fingers is a very important aspect to modulate a human-like motion of humanoid fingers handling an object. Based on this concept, this paper analyzes the joint trajectories of human fingers for an operation of hand opening and closing, and identifies an empirical relationship that coordinates the inter-joint actuation of human fingers doing the motion. For the application of its feature to robotic fingers, a suitable model that is possible to prescribe a relative joint motion of humanoid fingers is also suggested. It is expected that the proposed inter-articular coordination model is applicable for humanoid fingers to implement various natural human-like graspings
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002