<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robotics | Aaryan Sharma</title><link>https://AaryanS11010.github.io/personalweb/tags/robotics/</link><atom:link href="https://AaryanS11010.github.io/personalweb/tags/robotics/index.xml" rel="self" type="application/rss+xml"/><description>Robotics</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://AaryanS11010.github.io/personalweb/media/icon_hu_da05098ef60dc2e7.png</url><title>Robotics</title><link>https://AaryanS11010.github.io/personalweb/tags/robotics/</link></image><item><title>Robotics in the field</title><link>https://AaryanS11010.github.io/personalweb/projects/hospital-robotics-ops/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate><guid>https://AaryanS11010.github.io/personalweb/projects/hospital-robotics-ops/</guid><description>&lt;p&gt;At &lt;strong&gt;Diligent Robotics&lt;/strong&gt;, I help keep &lt;strong&gt;mobile service robots&lt;/strong&gt; dependable where it matters most: busy hospitals that cannot afford downtime or ambiguity.&lt;/p&gt;
&lt;h2 id="what-the-work-actually-looks-like"&gt;What the work actually looks like&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Fleet awareness&lt;/strong&gt; — tracking robot state, routes, and anomalies so issues are caught early.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Field debugging&lt;/strong&gt; — isolating whether a failure mode is environmental, software, or hardware-adjacent, then packaging evidence for engineering.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Human interaction&lt;/strong&gt; — calm, accurate answers for staff (and sometimes visitors) who are meeting automation in a high-stakes setting.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="what-i-took-away"&gt;What I took away&lt;/h2&gt;
&lt;p&gt;Robotics is as much about &lt;strong&gt;trust and communication&lt;/strong&gt; as it is about code. The same discipline I bring to ML—&lt;strong&gt;tight feedback loops&lt;/strong&gt;, careful logging, and honest uncertainty—shows up here in how we operate machines around people.&lt;/p&gt;</description></item></channel></rss>