<?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>2026-09-19T07:43:32Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/104266" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/104266</identifier><datestamp>2022-01-13T07:54:05Z</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">Sangbae Kim.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ubellacker, Wyatt Lee</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">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-09-13T19:19:13Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/104266</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">958161013</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.</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 (pages 47-48).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In disaster situations, humanoid robots offer many advantages as first responders, but must often navigate rough and unstable terrain. The high center of mass and small support polygon of humanoids creates a difficult locomotion challenge. However, a humanoid that can transform into a quadruped for locomotion, such as MIT Biomimetic Robotics Lab's HERMES, adds the stability of a four-legged gait to safely traverse this dangerous landscape. This thesis investigates a trotting gait controller for use on HERMES specifically on rough terrain. The method takes advantage of simpler underlying dynamics of trotting stability to create a robust controller that performs without specific knowledge of the terrain or preplanning steps. Force and moment balance are conducted around the center of mass of the robot and ground reaction forces from the feet. Stance legs stabilize against disturbances in pitch, roll, and center of mass height. Swing legs attempt to land in the optimal position using a ZMP technique, and the gait cycle time is modulated to achieve stability irrespective of the foot placement constrained by the actual terrain. The controller was simulated on the HERMES humanoid robot using randomized terrain and the performance of the controller was investigated.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Wyatt Lee Ubellacker.</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">48 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">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">Real-time quadruped gait controller for rough terrain locomotion</dim:field>
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   	&lt;Title>Real-time quadruped gait controller for rough terrain locomotion&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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        	&lt;DisplayName>Ubellacker, Wyatt Lee&lt;/DisplayName>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>In disaster situations, humanoid robots offer many advantages as first responders, but must often navigate rough and unstable terrain. The high center of mass and small support polygon of humanoids creates a difficult locomotion challenge. However, a humanoid that can transform into a quadruped for locomotion, such as MIT Biomimetic Robotics Lab&amp;apos;s HERMES, adds the stability of a four-legged gait to safely traverse this dangerous landscape. This thesis investigates a trotting gait controller for use on HERMES specifically on rough terrain. The method takes advantage of simpler underlying dynamics of trotting stability to create a robust controller that performs without specific knowledge of the terrain or preplanning steps. Force and moment balance are conducted around the center of mass of the robot and ground reaction forces from the feet. Stance legs stabilize against disturbances in pitch, roll, and center of mass height. Swing legs attempt to land in the optimal position using a ZMP technique, and the gait cycle time is modulated to achieve stability irrespective of the foot placement constrained by the actual terrain. The controller was simulated on the HERMES humanoid robot using randomized terrain and the performance of the controller was investigated.&lt;/Abstract>
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