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  <title><![CDATA[Ph.D. Dissertation Defense - Zhijian Hao]]></title>
  <body><![CDATA[<p><strong>Title</strong><em>:&nbsp; Sensing, Actuation, and Intelligence Integration in Micro-robotics</em></p><p><strong>Committee:</strong></p><p>Dr.&nbsp;Azadeh Ansari, ECE, Chair, Advisor</p><p>Dr.&nbsp;Seth Hutchinson, CoC</p><p>Dr.&nbsp;Arijit Raychowdhury, ECE</p><p>Dr.&nbsp;Farrokh Ayazi, ECE</p><p>Dr.&nbsp;Peter Hesketh, ME</p><p>Dr. Ethan Schaler, JPL</p>]]></body>
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      <value><![CDATA[Sensing, Actuation, and Intelligence Integration in Micro-robotics ]]></value>
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      <value><![CDATA[<p>The field of micro-robotics has seen significant advancements in recent years with promising applications in multiple critical industries such as healthcare, environmental surveying, defense and security, among others. However, the pursuit of miniaturization faces additional challenges and trade-offs due to constraints on size, weight, power, and cost (SWAP-C). This work focuses on enabling technologies to enhance micro-robot performance and system integration, utilizing tight connections across disciplines of mechanical engineering, electrical engineering, physics, chemistry, and computer science. Each project showcases unique implementations of micro-robots with advancements in their sensing, actuation, intelligence, and collaboration capabilities in compact form factors from a few millimeters to a few centimeters. The integration of interdisciplinary technologies has resulted in highly functional micro-robots with the potential for groundbreaking applications. Future research can build on these findings, aiming to overcome the challenges of SWAP-C constraints, further enhancing the capabilities and applications of micro-robots.</p>]]></value>
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      <value><![CDATA[2024-07-17T13:00:00-04:00]]></value>
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      <value><![CDATA[Room 530, TSRB]]></value>
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        <url>https://teams.microsoft.com/l/meetup-join/19%3ameeting_ODY5NDg2YTgtNjVmMS00MGJhLWFkNzctN2I5ZWU0ZjQ5Yzc4%40thread.v2/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%227df6c5a7-e74f-43dd-a14c-60d9898afab7%22%7d</url>
        <link_title><![CDATA[Microsoft Teams Meeting link]]></link_title>
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          <item><![CDATA[ECE Ph.D. Dissertation Defenses]]></item>
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        <value><![CDATA[Other/Miscellaneous]]></value>
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        <value><![CDATA[Phd Defense]]></value>
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