<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects &amp; Robots on CSE Robotics</title><link>https://robotics.cse.unsw.edu.au/projects/</link><description>Recent content in Projects &amp; Robots on CSE Robotics</description><generator>Hugo</generator><language>en-AU</language><atom:link href="https://robotics.cse.unsw.edu.au/projects/index.xml" rel="self" type="application/rss+xml"/><item><title>rUNSWift</title><link>https://robotics.cse.unsw.edu.au/projects/runswift/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://robotics.cse.unsw.edu.au/projects/runswift/</guid><description>&lt;h2 id="autonomous-robot-soccer"&gt;Autonomous robot soccer&lt;/h2&gt;
&lt;p&gt;rUNSWift brings together students and researchers to build robots that play soccer autonomously. The task connects vision, localisation, motion, decision-making and coordination in a single physical system.&lt;/p&gt;
&lt;h2 id="building-a-complete-autonomous-system"&gt;Building a complete autonomous system&lt;/h2&gt;
&lt;p&gt;The original team material identifies vision, motion, localisation, behaviours, communication, system architecture, tooling and robot maintenance as connected areas of work. On a soccer field, progress in one component only helps when it works with the rest of the system.&lt;/p&gt;</description></item><item><title>rUNSWeep</title><link>https://robotics.cse.unsw.edu.au/projects/runsweep/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://robotics.cse.unsw.edu.au/projects/runsweep/</guid><description>&lt;h2 id="robots-in-everyday-environments"&gt;Robots in everyday environments&lt;/h2&gt;
&lt;p&gt;rUNSWeep’s RoboCup@Home work brings together navigation, manipulation, dialogue and task reasoning in a domestic setting. These tasks require a robot to connect observations with a model of objects, places and people.&lt;/p&gt;
&lt;h2 id="an-integrated-domestic-robotics-testbed"&gt;An integrated domestic-robotics testbed&lt;/h2&gt;
&lt;p&gt;The original rUNSWeep material describes ROS software connecting perception, a world model, navigation, manipulation, speech and task execution. Tasks such as cleaning a table and carrying luggage make the integration problem concrete: observations must lead to a useful sequence of actions, with feedback as the situation changes.&lt;/p&gt;</description></item><item><title>RoboCup Rescue</title><link>https://robotics.cse.unsw.edu.au/projects/robocup-rescue/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://robotics.cse.unsw.edu.au/projects/robocup-rescue/</guid><description>&lt;h2 id="robots-for-search-and-rescue"&gt;Robots for search and rescue&lt;/h2&gt;
&lt;p&gt;RoboCup Rescue develops autonomous search-and-rescue capabilities for simulated disaster environments. The team works with a Unitree Go2 quadruped, bringing together mapping, navigation and computer vision to explore unfamiliar terrain and identify potential victims.&lt;/p&gt;
&lt;h2 id="connecting-perception-and-action"&gt;Connecting perception and action&lt;/h2&gt;
&lt;p&gt;The project uses ROS 2 to integrate sensors, localisation, planning and robot control. It forms part of UNSW’s AI 4 Everyone Vertically Integrated Project, with Yang Song and Maurice Pagnucco as academic leads.&lt;/p&gt;</description></item><item><title>NAO robot soccer platform</title><link>https://robotics.cse.unsw.edu.au/projects/nao/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://robotics.cse.unsw.edu.au/projects/nao/</guid><description>&lt;h2 id="an-earlier-generation-of-robot-soccer"&gt;An earlier generation of robot soccer&lt;/h2&gt;
&lt;p&gt;rUNSWift’s Standard Platform League work used NAO humanoid robots. Using a shared hardware platform focused competition on perception, localisation, motion and autonomous behaviour.&lt;/p&gt;
&lt;p&gt;The team won the Standard Platform League in 2014 and 2015. In 2026, rUNSWift competed with Booster K1 robots. This entry records the earlier platform and does not describe the current team’s hardware.&lt;/p&gt;
&lt;p&gt;See &lt;a href="https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering/student-life/student-projects/robocup" rel="noopener"&gt;UNSW’s historical competition results&lt;/a&gt; and the &lt;a href="https://robotics.cse.unsw.edu.au/robocup/history/"&gt;team archive&lt;/a&gt;.&lt;/p&gt;</description></item><item><title>UNSW@Work</title><link>https://robotics.cse.unsw.edu.au/projects/unsw-at-work/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://robotics.cse.unsw.edu.au/projects/unsw-at-work/</guid><description>&lt;h2 id="the-2024-project-record"&gt;The 2024 project record&lt;/h2&gt;
&lt;p&gt;The original GitLab site described UNSW@Work’s aim of developing a holonomic mobile robot for RoboCup@Work 2024. The proposed system would navigate a simulated factory floor, collect objects and deliver them using a robotic arm.&lt;/p&gt;
&lt;p&gt;&lt;img src="https://robotics.cse.unsw.edu.au/uploads/Screenshot-2024-03-01-123531-300x199.png" alt="Platform shown in the original UNSW@Work project description" loading="lazy"&gt;&lt;/p&gt;
&lt;p&gt;The project brought together LiDAR and depth sensing, SLAM-based navigation and computer vision for recognising objects. Its research setting connected perception and mapping with physical manipulation in an industrial-style task.&lt;/p&gt;</description></item></channel></rss>