A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications

Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.

Bibliographic Details
Main Author: Ort, Moses Teddy
Other Authors: H. Harry Asada.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/105675
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author Ort, Moses Teddy
author2 H. Harry Asada.
author_facet H. Harry Asada.
Ort, Moses Teddy
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description Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
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spelling mit-1721.1/1056752019-04-12T17:45:16Z A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications Ort, Moses Teddy H. Harry Asada. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 49-50). People never seem to have enough hands. There are many tools that aim to address this challenge, ranging from the ubiquitous benchtop vise to the "helping hands" commonly used for soldering. However, these tools do not measure up to their human counterparts. They cannot adjust the position or orientation of the workpiece to suit a particular task which can cause workers to maintain unhealthy postures that are detrimental to their long-term health. This thesis addresses this shortcoming with a robotic arm that utilizes a gripper to grasp and hold a workpiece during a soldering task. The robot uses a Microsoft Kinect sensor to continuously analyze the posture of the human worker and calculate a score based on the RULA (Rapid Upper Limb Assessment), an objective measure used in the ergonomics field to evaluate ergonomic working postures. The robot adjusts the workpiece in order to optimize the RULA score using an adaptive simulated annealing algorithm to balance the exploration and exploitation phases of the optimization process. Initial testing indicates that the robot can consistently find positions which improve the RULA ranking by 24.6% of the measured range. This project demonstrates that human robot collaboration can be improved by utilizing sensors to evaluate the needs of a human partner and adjust the robot behavior accordingly. by Moses Teddy Ort. S.B. 2016-12-05T19:57:33Z 2016-12-05T19:57:33Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105675 964449404 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 50 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Ort, Moses Teddy
A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title_full A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title_fullStr A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title_full_unstemmed A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title_short A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
title_sort robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/105675
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