<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T08:32:09Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/70440" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/70440</identifier><datestamp>2022-01-13T07:54:36Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Charles M. Oman.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wang, Victor, S.M. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-04-26T18:53:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-04-26T18:53:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/70440</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">785723986</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 54-61).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Astronauts spend much time training to control the robotic arm aboard the International Space Station, and must perform a variety of challenging, three-dimensional tasks. They use a unique, bimanual control system to control the velocity of the end-effector; the left hand controls translation in three axes while the right hand simultaneously controls rotation in three axes. Operator inputs to the bimanual controllers can cross-couple through not only inter-manual neuromotor pathways, when movement of one hand affects movement of the other hand, but also through intramanual pathways, when movement of one hand affects movement of the same hand in an unintended control axis. We developed a measurement technique to quantify these directional cross-coupling pathways based on the detection of frequency-coded command signals in a bimanual tracking task. The technique allowed us to characterize the interactions among all six control axes in the form of a cross-coupling matrix of coupling strengths. An experiment using these techniques suggested two principal pathways of intermanual coupling and one of intramanual coupling. By combining information across 18 human subjects to typify the cross-coupling response due to the bimanual control system, we found that the two intermanual pathways exhibited 21% yaw to lateral translation and 15% pitch to vertical translation mean coupling even after significant training. The intramanual pathway exhibited 41% roll to yaw mean coupling. We found significant differences in bimanual cross-coupling between subjects, and demonstrated that subjects could significantly reduce intermanual cross-coupling with practice, suggesting that these metrics may be useful indicators of control device mastery. We found statistically significant negative correlations between early-stage intramanual coupling and subsequent performance in a simulated space telerobotics track and capture task, suggesting that an intramanual coupling metric may be useful as a predictor of human telerobotic performance. The test technique could ultimately be applied to evaluate cross-coupling during astronaut training and also to reduce undesired cross-coupling through improved hand controller design. Our results supported an ergonomic basis for intermanual cross-coupling that incorporated both biomechanical effects and sensorimotor effects.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Victor Wang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">173 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="relation" qualifier="requires" lang="en_US">CD-ROM contains copy of thesis in .pdf format.</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Bimanual cross-coupling in space telerobotics</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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	&lt;Language>eng&lt;/Language>
   	&lt;Title>Bimanual cross-coupling in space telerobotics&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Wang, Victor, S.M. Massachusetts Institute of Technology&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>Astronauts spend much time training to control the robotic arm aboard the International Space Station, and must perform a variety of challenging, three-dimensional tasks. They use a unique, bimanual control system to control the velocity of the end-effector; the left hand controls translation in three axes while the right hand simultaneously controls rotation in three axes. Operator inputs to the bimanual controllers can cross-couple through not only inter-manual neuromotor pathways, when movement of one hand affects movement of the other hand, but also through intramanual pathways, when movement of one hand affects movement of the same hand in an unintended control axis. We developed a measurement technique to quantify these directional cross-coupling pathways based on the detection of frequency-coded command signals in a bimanual tracking task. The technique allowed us to characterize the interactions among all six control axes in the form of a cross-coupling matrix of coupling strengths. An experiment using these techniques suggested two principal pathways of intermanual coupling and one of intramanual coupling. By combining information across 18 human subjects to typify the cross-coupling response due to the bimanual control system, we found that the two intermanual pathways exhibited 21% yaw to lateral translation and 15% pitch to vertical translation mean coupling even after significant training. The intramanual pathway exhibited 41% roll to yaw mean coupling. We found significant differences in bimanual cross-coupling between subjects, and demonstrated that subjects could significantly reduce intermanual cross-coupling with practice, suggesting that these metrics may be useful indicators of control device mastery. We found statistically significant negative correlations between early-stage intramanual coupling and subsequent performance in a simulated space telerobotics track and capture task, suggesting that an intramanual coupling metric may be useful as a predictor of human telerobotic performance. The test technique could ultimately be applied to evaluate cross-coupling during astronaut training and also to reduce undesired cross-coupling through improved hand controller design. Our results supported an ergonomic basis for intermanual cross-coupling that incorporated both biomechanical effects and sensorimotor effects.&lt;/Abstract>
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