A strategy for grasping unknown objects based on co-planarity and colour information

Popović, M., Kraft, D., Bodenhagen, L., Başeski, E., Pugeault, N. , Kragic, D., Asfour, T. and Krüger, N. (2010) A strategy for grasping unknown objects based on co-planarity and colour information. Robotics and Autonomous Systems, 58(5), pp. 551-565. (doi: 10.1016/j.robot.2010.01.003)

Abstract

In this work, we describe and evaluate a grasping mechanism that does not make use of any specific object prior knowledge. The mechanism makes use of second-order relations between visually extracted multi-modal 3D features provided by an early cognitive vision system. More specifically, the algorithm is based on two relations covering geometric information in terms of a co-planarity constraint as well as appearance based information in terms of co-occurrence of colour properties. We show that our algorithm, although making use of such rather simple constraints, is able to grasp objects with a reasonable success rate in rather complex environments (i.e., cluttered scenes with multiple objects). Moreover, we have embedded the algorithm within a cognitive system that allows for autonomous exploration and learning in different contexts. First, the system is able to perform long action sequences which, although the grasping attempts not being always successful, can recover from mistakes and more importantly, is able to evaluate the success of the grasps autonomously by haptic feedback (i.e., by a force torque sensor at the wrist and proprioceptive information about the distance of the gripper after a gasping attempt). Such labelled data is then used for improving the initially hard-wired algorithm by learning. Moreover, the grasping behaviour has been used in a cognitive system to trigger higher level processes such as object learning and learning of object specific grasping.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pugeault, Dr Nicolas
• Authors: Popović, M., Kraft, D., Bodenhagen, L., Başeski, E., Pugeault, N., Kragic, D., Asfour, T., and Krüger, N.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Robotics and Autonomous Systems
• Publisher: Elsevier
• ISSN: 0921-8890
• ISSN (Online): 1872-793X
• Published Online: 02 February 2010