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Classifying compliant manipulation tasks for automated planning in robotics | IEEE Conference Publication | IEEE Xplore

Classifying compliant manipulation tasks for automated planning in robotics


Abstract:

Many household chores and industrial manufacturing tasks require a certain compliant behavior to make deliberate physical contact with the environment. This compliant beh...Show More

Abstract:

Many household chores and industrial manufacturing tasks require a certain compliant behavior to make deliberate physical contact with the environment. This compliant behavior can be implemented by modern robotic manipulators. However, in order to plan the task execution, a robot requires generic process models of these tasks which can be adapted to different domains and varying environmental conditions. In this work we propose a classification of compliant manipulation tasks meeting these requirements, to derive related actions for automated planning. We also present a classification for the sub-category of wiping tasks, which are most common and of great importance in service robotics.We categorize actions from an object-centric perspective to make them independent of any specific robot kinematics. The aim of the proposed taxonomy is to guide robotic programmers to develop generic actions for any kind of robotic systems in arbitrary domains.
Date of Conference: 28 September 2015 - 02 October 2015
Date Added to IEEE Xplore: 17 December 2015
ISBN Information:
Conference Location: Hamburg, Germany

I. Introduction

Probably the most essential aspect of any manipulation task is the effect to the environment. Artificial intelligence (AI) research has shown how this can be properly taken into account in automated planning systems, where actions are described based on their pre-conditions and effects [1]. Unfortunately, this aspect has been mostly abandoned in robotics research. Traditionally, robots are clueless about the purpose of their motions, and they are not aware of the resulting changes to the world. A similar trend can be observed in research on the classification of manipulation tasks. Traditional taxonomies found in the literature usually apply hand-centric views and classify by finger position [2], relative motions [3], or geometric dimensions [4]. The applications and effects are mostly neglected. We argue that a novel point of view has to be applied to classify actions on a high level of abstraction according to their effects to the physical world. Based on this, less abstract sub-categories can be defined to derive generic process models and to combine symbolic and geometric parameters.

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References

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