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Online weight estimation in a robotic gripper arm

Dana Copoţ, Clara M. Ionescu, Ioan Nașcu, Robin De Keyser

Year
2016
Citations
5

Abstract

This paper presents a novel methodology for online, fast and accurate weight estimation technique in a robotic gripper arm. The laboratory setup is inspired from several real life applications of weight estimation in moving cranes, e.g. loading containers in a shipyard, iron scrapping in steel industry, etc. The weight needs to be estimated within a specified time interval and within a tolerance interval for accuracy. The results indicate that the proposed method is suitable for this kind of application and an improvement of 30% has been achieved compared to the current state of work.

Keywords

Weight estimationShipyardRobotic armComputer scienceInterval (graph theory)EstimationWork (physics)Artificial intelligenceEngineeringMechanical engineering

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