<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Giulia d'Addato | IDRA Labs</title><link>https://idra.unitn.it/author/giulia-daddato/</link><atom:link href="https://idra.unitn.it/author/giulia-daddato/index.xml" rel="self" type="application/rss+xml"/><description>Giulia d'Addato</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://idra.unitn.it/author/giulia-daddato/avatar_hua4bce7707c64c7e619d82010828dab5c_166998_270x270_fill_q75_lanczos_center.jpg</url><title>Giulia d'Addato</title><link>https://idra.unitn.it/author/giulia-daddato/</link></image><item><title>Giulia d'Addato</title><link>https://idra.unitn.it/author/giulia-daddato/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://idra.unitn.it/author/giulia-daddato/</guid><description>&lt;p>Giulia d&amp;rsquo;Addato is a Ph.D. student in Autonomous Systems at the University of Trento. Her research focuses on human-robot interaction, specifically in the area of multi-robot trajectory planning and control for cooperative tasks in dynamic environments. Currently, her work revolves around socially-aware navigation, and one of her recent projects involves the development of a hybrid model that combines nonlinear opinion dynamics and vortex fields to ensure safe and human-friendly robot navigation in complex human-populated environments. In the future, she would like to extend her research into multi-agent systems and explore how robots can influence human opinions during interaction, as well as the transition from mobile robots to more complex manipulators. Stay tuned for updates!&lt;/p></description></item><item><title>Social Robotics</title><link>https://idra.unitn.it/research/social/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://idra.unitn.it/research/social/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>Work in progress!&lt;/p>
&lt;h2 id="social-navigation">Social Navigation&lt;/h2>
&lt;p>Social Robot Navigation focuses on developing robots that can navigate safely and naturally around people in shared environments. We aim to create systems that allow robots to move smoothly in crowded spaces, respecting social norms and avoiding people and obstacles. In this way, robots will be able to fit seamlessly into everyday life and improve the way they interact and cooperate with people in real-world scenarios.&lt;/p>
&lt;h2 id="our-team">Our Team&lt;/h2>
&lt;p>Our interdisciplinary team comprises experts in robotics, estimation, and artificial intelligence, planning and scheduling, computer vision, human computer interaction, natural language processing. We collaborate closely with people to ensure our solutions meet acceptance and meets the safety standards.&lt;/p></description></item></channel></rss>