<?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>2026-09-19T12:16:46Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/123251" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/123251</identifier><datestamp>2021-07-05T14:03:20Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131024</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">Harry Asada.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Valdes, Gabriel(Gabriel D.)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-12-13T18:57:42Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-12-13T18:57:42Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/123251</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1130060354</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019</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 (page 26).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This project aims to introduce a more robust navigation architecture for the Triple Scissor Extender Robot Arm (TSERA) at the d'Arbeloff Laboratory for Information Systems and Technology. TSERA was developed to access a confined area through a narrow channel, commonly known as the last one-foot problem found in final assembly, inspection, and maintenance operations within the aviation, automobile, and industrial equipment industries. Inspired from plant growth mechanisms, the robot is built from a sequence of expandable segments that can each extend and tilt. The current path planning algorithm computes arm motion by solving a series of inverse kinematic relations for each segment. This requires a user input of a three-dimensional coordinate to a kinematics solver for a robot in a complex and unknown operating space with parasitic displacement characteristics. This new path-planning design allows users to instead input a desired orientation for an expandable segment, utilizes a gradient ascent algorithm to determine the three-dimensional coordinate that would allow for that desired orientation, and then creates waypoints across the path in order to ensure minimal displacement error and reduce chances of damage to the robot's motors all in realtime. This solution allows for a more intuitive user experience with TSERA and increases robustness of the robot itself.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Gabriel Valdes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">26 pages</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="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">A waypoint-driven gradient descent solution for a parallel robot</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Bachelor</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="department" lang="en_US">MechE</dim:field>
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   	&lt;Title>A waypoint-driven gradient descent solution for a parallel robot&lt;/Title>
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   	&lt;PublicationDate>2019&lt;/PublicationDate>
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        	&lt;DisplayName>Valdes, Gabriel(Gabriel D.)&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>This project aims to introduce a more robust navigation architecture for the Triple Scissor Extender Robot Arm (TSERA) at the d&amp;apos;Arbeloff Laboratory for Information Systems and Technology. TSERA was developed to access a confined area through a narrow channel, commonly known as the last one-foot problem found in final assembly, inspection, and maintenance operations within the aviation, automobile, and industrial equipment industries. Inspired from plant growth mechanisms, the robot is built from a sequence of expandable segments that can each extend and tilt. The current path planning algorithm computes arm motion by solving a series of inverse kinematic relations for each segment. This requires a user input of a three-dimensional coordinate to a kinematics solver for a robot in a complex and unknown operating space with parasitic displacement characteristics. This new path-planning design allows users to instead input a desired orientation for an expandable segment, utilizes a gradient ascent algorithm to determine the three-dimensional coordinate that would allow for that desired orientation, and then creates waypoints across the path in order to ensure minimal displacement error and reduce chances of damage to the robot&amp;apos;s motors all in realtime. This solution allows for a more intuitive user experience with TSERA and increases robustness of the robot itself.&lt;/Abstract>
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