<?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>2026-09-21T14:52:19Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111698" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111698</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">Jonathan P. How.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Everett, Michael F</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">2017-10-04T14:47:28Z</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1004857630</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 113-116).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Autonomous (self-driving) vehicles are increasingly being tested on highways and city streets. But there is also a need for robots that can navigate through environments like sidewalks, buildings, and hallways. In these situations, the robots must interact and cooperate with pedestrians in a socially acceptable manner. The "rules of the road" no longer apply -- there are no lanes or street signs, and pedestrians don't use turn signals when cutting through crowds. This thesis describes the hardware and software architecture of a robot that was developed for this application. This thesis also proposes a 2nd generation robot with tighter budget and size constraints. Finally, this thesis presents a novel collision avoidance method that extends the Reciprocal Velocity Obstacle (RVO) framework to consider the impact of planning decisions on future world states.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Michael F. Everett.</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">116 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">Robot designed for socially acceptable navigation</dim:field>
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   	&lt;Title>Robot designed for socially acceptable navigation&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
   	&lt;Abstract>Autonomous (self-driving) vehicles are increasingly being tested on highways and city streets. But there is also a need for robots that can navigate through environments like sidewalks, buildings, and hallways. In these situations, the robots must interact and cooperate with pedestrians in a socially acceptable manner. The &amp;quot;rules of the road&amp;quot; no longer apply -- there are no lanes or street signs, and pedestrians don&amp;apos;t use turn signals when cutting through crowds. This thesis describes the hardware and software architecture of a robot that was developed for this application. This thesis also proposes a 2nd generation robot with tighter budget and size constraints. Finally, this thesis presents a novel collision avoidance method that extends the Reciprocal Velocity Obstacle (RVO) framework to consider the impact of planning decisions on future world states.&lt;/Abstract>
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