Framework of grasping planning for multi-fingered robot hands

Abstract

In this paper, we present a framework of grasping planning for multi-fingered robot hands which is based on the planning scheme of human. Structure of the proposed grasping planner is composed of three sub planners: grasping type planner, opposition parameter planner and approach vector planner. This planner is based on the way of human's grasping plan, so it is suitable for learning of intelligences for grasping of human. Using this framework of grasping planning, we would like to utilize to study for robot's imitating of human's grasping plan intelligence.