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IrvingF7 committed Oct 2, 2023
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<head>
<meta charset="utf-8">
<meta name="description"
content="Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space">
content="Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction">
<meta name="keywords" content="Robot Learning, Robot Perception, Sensors & Vision,Robot State Estimation, Localization & Mapping">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>DeepExplorer</title>
<title>EgoPAT3Dv2</title>

<!-- Global site tag (gtag.js) - Google Analytics -->
<!-- <script async src="https://www.googletagmanager.com/gtag/js?id=G-PYVRSFMDRL"></script>
Expand Down Expand Up @@ -86,28 +86,28 @@ <h2 class="title is-4"><a href="https://2024.ieee-icra.org">ICRA 2024</a></h2>
<span class="author-block">
<a href="https://github.com/yuzhongchen/">Yuzhong Chen*</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://roboticsyimingli.github.io/">Yifan Wang*</a><sup>1</sup>
<a href="https:">Yifan Wang*</a><sup>1</sup>
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Jianghan Zhang&dagger;</a><sup>1</sup>,
<a href="https:">Jianghan Zhang&dagger;</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Qiushi Zhang&dagger;</a><sup>1</sup>,
<a href="https:">Qiushi Zhang&dagger;</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Jiali Xu&dagger;</a><sup>1</sup>,
<a href="https:">Jiali Xu&dagger;</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Xibo He</a><sup>1</sup>,
<a href="https:">Xibo He</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Weibo Gao</a><sup>2</sup>,
<a href="https:">Weibo Gao</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://rushibs.github.io">Hao Su</a><sup>2</sup>,
<a href="https:">Hao Su</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://roboticsyimingli.github.io/">Yiming Li</a><sup>1</sup>,
<a href="https://yimingli-page.github.io/">Yiming Li</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=YeG8ZM0AAAAJ">Chen Feng</a><sup>2</sup>
Expand All @@ -120,17 +120,23 @@ <h2 class="title is-4"><a href="https://2024.ieee-icra.org">ICRA 2024</a></h2>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>2</sup> North Carolina State University </span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>*</sup> Equal Contribution </span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>&dagger;</sup> Equal Contribution </span>
</div>

<div class="column has-text-centered">
<div class="publication-links">
<span class="link-block">
<!-- add here later. -->
<a href="https://arxiv.org/abs/2303.09192"
<a href=""
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
<span>arXiv (Coming Soon)</span>
</a>
</span>
<span class="link-block">
Expand All @@ -155,12 +161,12 @@ <h2 class="title is-4"><a href="https://2024.ieee-icra.org">ICRA 2024</a></h2>
</span> -->
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/ai4ce/DeepExplorer"
<a href="https"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
<span>Code (Coming Soon)</span>
</a>
</span>
<!-- Dataset Link. -->
Expand Down Expand Up @@ -213,23 +219,12 @@ <h2 class="title is-4"><a href="https://2024.ieee-icra.org">ICRA 2024</a></h2>

<img class="rounded" src="./static/images/teasing_figure.jpg" >
<br><br><br>
<!-- <h2 class="subtitle has-text-centered">
DeepExplorer exploration result on <b>MP3D room scene q9vSo1VnCiC</b>. We show both efficient exploration results in top row, sub-figure A, B, C, and
also relatively less-efficient exploration in sub-figure E and F, which are mainly due to local repetitive exploration. We further show an inefficient
exploration example in sub-figure D. Two room scene 3D visualization is given in the left-most subfigures. The agent exploration starting-position is marked
by a red rectangle patch.</h2> -->
<h2 class="subtitle has-text-centered">
DeepExplorer is a framework for efficient metric-free visual exploration based on task and motion planning entirely
in an image feature space. We train DeepExplorer via deeply-supervised imitation through joint feature hallucination and
action prediction, whose importance is shown in our ablation study. Through experiment on both exploration and navigation
task, we show the efficiency and strong sim2sim/sim2real generalization capability of DeepExplorer.
The UR10e cobot tries to maintain its end-effector at a certain position.
Meanwhile, a human wearing a helmet camera manipulates objects in the shared workspace. The cobot proactively avoids
potential collision (the fourth column) with the anticipated 3D action target. The video is in the supplementary material
</h2>
<!-- <h2 class="subtitle has-text-centered">
(The <span style="color:#000
000;">black</span> / <span style="color:#ff0000;">red</span> lines are the ground truth / predicted camera trajectory)
</h2> -->
<!-- <h2 class="is-size-6 has-text-centered">(The left are few-shot annotations online provided by user and right is the detection results)</h2> -->


</div>
</div>
</section>
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