bio

I am a PhD student in the Robotics and Perception Group, under the supervision of Prof. Davide Scaramuzza. My research focuses on robotics, computer vision, and machine learning. Prior to this, I earned my MSc at ETH Zurich, where I had the privilege of working at the Autonomous Systems Lab. My research focuses on agile robot learning with strong generalization capabilities. Specifically, I am working on developing high-performance, generalizable visuomotor policies for agile robots that can be effectively deployed in real-world environments. <!– <div class="news">

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        <th scope="row" style="width: 20%; color: var(--global-news-color);">Nov 26, 2024</th>
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            <a href="https://rpg.ifi.uzh.ch/docs/RAL24_Xing.pdf">Multi-task Reinforcement Learning for Quadrotors</a> is accepted to RA-L!

          
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        <th scope="row" style="width: 20%; color: var(--global-news-color);">Sep 04, 2024</th>
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            <a href="https://openreview.net/forum?id=bt0PX0e4rE">Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight</a> is accepted to CoRL 2024!

          
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        <th scope="row" style="width: 20%; color: var(--global-news-color);">Jul 18, 2024</th>
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            Our work on RSS 2024 has been selected for the <a href="https://roboticsconference.org/2024/program/awards">Best Demo Paper Award</a>!

          
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        <th scope="row" style="width: 20%; color: var(--global-news-color);">May 13, 2024</th>
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            <a href="https://rpg.ifi.uzh.ch/docs/RSS24_Geles.pdf">Demonstrating Agile Flight from Pixels without State Estimation</a> is accepted to RSS 2024!

          
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        <th scope="row" style="width: 20%; color: var(--global-news-color);">Jan 29, 2024</th>
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            <a href="https://rpg.ifi.uzh.ch/docs/ICRA24_Xing.pdf">Contrastive learning for enhancing robust scene transfer in vision-based agile flight</a> is accepted to ICRA 2024!

          
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