A new discrete event system model for supervising and controlling robotic arm path tacking tasks based on adaptive masking

Arastehfar, Soheil, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Lu, Wen Feng 2012. A new discrete event system model for supervising and controlling robotic arm path tacking tasks based on adaptive masking. Presented at: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, IL, 12–15 August 2012. ASME Proceedings 36th Mechanisms and Robotics Conference. , vol.4 ASME, pp. 1217-1226. 10.1115/DETC2012-70588

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Abstract

This paper introduces a new discrete event system (DES) model for supervising and controlling trajectory planning tasks and robot motion using automata. This model is proposed based on a new approach, namely mask description. Masks are constructed adaptively and are modified based on the error between the original path and the planned path. The model acts in two phases, mask construction phase (MCP) and end-effecter positioning phase (E2P2). In MCP, it tries to plan a path, and in E2P2 it tries to place the end-effecter along the sequence of points on the path. The model describes a path in the Cartesian space and moves the end-effecter in the joint variable space, and therefore, MCP plans the path as accurate as Cartesian space description, and E2P2 position the robot as fast as joint space description. Results show that the proposed adaptive masking is remarkably efficient in computing.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Publisher:	ASME
ISBN:	9780791845035
Last Modified:	27 Oct 2022 09:53
URI:	https://orca.cardiff.ac.uk/id/eprint/68112

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