IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Evaluation of Remote Interface Component Alternatives for Teaching Tele-Robotic Operation

Evaluation of Remote Interface Component Alternatives for Teaching Tele-Robotic Operation
View Sample PDF
Author(s): Goldstain Ofir (Tel-Aviv University, Israel), Ben-Gal Irad (Tel-Aviv University, Israel)and Bukchin Yossi (Tel-Aviv University, Israel)
Copyright: 2012
Pages: 22
Source title: Internet Accessible Remote Laboratories: Scalable E-Learning Tools for Engineering and Science Disciplines
Source Author(s)/Editor(s): Abul K.M. Azad (Northern Illinois University, USA), Michael E. Auer (Carinthia University of Applied Sciences, Austria)and V. Judson Harward (Massachusetts Institute of Technology, USA)
DOI: 10.4018/978-1-61350-186-3.ch009

Purchase

View Evaluation of Remote Interface Component Alternatives for Teaching Tele-Robotic Operation on the publisher's website for pricing and purchasing information.

Abstract

This chapter discusses a remote learning study conducted at the Computer-Integrated-Manufacturing (CIM) Laboratory in Tel-Aviv University. The goal is to provide remote end-users with an interface that enables them to teleoperate a robotic arm in conditions as close as possible to hands-on operation in the laboratory. This study evaluates the contribution of different interface components to the overall performance and the learning ability of potential end-users. Based on predefined experimental tasks, the study compares alternative interface designs for teleoperation. The three performance measures of the robot operation task are (1) the number of steps that are required to complete the given task, (2) the number of errors during the execution stage, and (3) the improvement rate of users. Guidelines for a better design of remote learning interfaces in robotics are provided based on the experimental results.

Related Content

John Robinson, Daniel Beneroso. © 2022. 19 pages.
Klaas Stek. © 2022. 30 pages.
Mira Kekkonen, Ville Isoherranen. © 2022. 19 pages.
Helder Gomes Costa, Frederico Henrichs Sheremetieff, Elaine Aparecida Araújo. © 2022. 20 pages.
Erik Teixeira Lopes, André Luiz Aquere. © 2022. 30 pages.
Ariana Araujo, Heidi Manninen. © 2022. 27 pages.
João Eduardo Teixeira Marinho, Inês Rafaela Martins Freitas, Isabelle Batista dos Santos Leão, Leonor Oliveira Carvalho Sousa Pacheco, Margarida Pires Gonçalves, Maria João Carvalho Castro, Pedro Duarte Marinho Silva, Rafael José Sousa Moreira. © 2022. 19 pages.
Body Bottom