Abstract

We propose an approach to teach robots to per form grasping tasks. This approach is based on the Assembly Plan from Observation (APO) paradigm, where the key idea is to enable a system to observe a human performing a grasping task, understand it, and perform the task with minimal human intervention.

A grasping task is composed of three phases: pregrasp phase, static grasp phase, and manipulation phase. The first step in recognizing a grasping task is to identify the grasp itself (within the static grasp phase).

We propose to identify the grasp by means of a grasp representation called the contact web which is composed of a pattern of effective contact points between the hand and the object. We also propose a grasp taxonomy based on the contact web to systematically identify a grasp. Results from grasping experiments show that it is possi ble to distinguish between various types of grasps using the proposed contact web and grasp taxonomy.