<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Laboratory Automation |</title><link>https://tasada038.github.io/tags/laboratory-automation/</link><atom:link href="https://tasada038.github.io/tags/laboratory-automation/index.xml" rel="self" type="application/rss+xml"/><description>Laboratory Automation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 08 Jul 2024 00:00:00 +0000</lastBuildDate><image><url>https://tasada038.github.io/media/icon_hu_3ad6220360078ece.png</url><title>Laboratory Automation</title><link>https://tasada038.github.io/tags/laboratory-automation/</link></image><item><title>Laboratory Automation</title><link>https://tasada038.github.io/projects/laboratory-automation/</link><pubDate>Mon, 08 Jul 2024 00:00:00 +0000</pubDate><guid>https://tasada038.github.io/projects/laboratory-automation/</guid><description>&lt;p&gt;Research and development activities in laboratory automation, including robotic experimentation, collaborative robots, and AI-assisted materials discovery.&lt;/p&gt;
&lt;p&gt;Accelerating Condition Exploration for Ceramic Chemical Sintering Using Robotic Automation&lt;/p&gt;
&lt;p&gt;AIST Chubu Center, 2024&lt;/p&gt;
&lt;p&gt;Participated in a collaborative project with the National Institute of Advanced Industrial Science and Technology (AIST) to establish an automated experimental workflow for ceramic chemical sintering processes.&lt;/p&gt;
&lt;p&gt;The project focused on automating powder-handling operations for high-throughput materials exploration, where large numbers of compositional experiments are required to identify promising ceramic materials. A collaborative robot system was developed to perform repetitive powder preparation tasks, reducing manual workload and significantly increasing experimental throughput.&lt;/p&gt;
&lt;p&gt;A key contribution was the development of robotic manipulation techniques capable of handling powder materials inside controlled environments such as gloveboxes. By integrating collaborative robots with custom mechanical mechanisms, human-like operations such as powder leveling and container handling were successfully reproduced.&lt;/p&gt;
&lt;p&gt;The automated experimental platform enabled rapid generation of experimental datasets, supporting AI-based prediction of material compositions and accelerating the discovery of novel ceramic compounds.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Related media coverage&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&amp;ldquo;AIST Chubu Center Establishes Robotic Method for Accelerating Condition Exploration in Ceramic Chemical Sintering Processes&amp;rdquo;
Nikkan Kogyo Shimbun, July 8, 2024&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>