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<!DOCTYPE HTML>
<!--
Hyperspace by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Action@Perception-IROS24</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
<link rel="stylesheet" href="assets/css/text_image.css" />
</head>
<body class="is-preload">
<!-- Sidebar -->
<section id="sidebar">
<div class="inner">
<nav>
<ul>
<li><a href="#intro">Welcome</a></li>
<li><a href="#program">Program</a></li>
<li><a href="#papers">Call for Papers</a></li>
<li><a href="#organizers">Organizers</a></li>
<li><a href="#support">Supported by</a></li>
<li><a href="#contact">Contacts
</a></li>
</ul>
</nav>
</div>
</section>
<!-- Wrapper -->
<div id="wrapper">
<!-- Intro -->
<section id="intro" class="wrapper style1 fullscreen fade-up">
<div class="inner">
<h1>Closing the action-perception loop in robotic manipulation</h1>
<h2>How to push current limits of industrial applications?</h3>
<p> Since the rise of robotic manipulation in early 1950s, robots have improved in speed, precision, repeatability and safety. On the other hand, it is evident, nowadays, how industrial robotic manipulation shows truly effectiveness only in settings in which geometry, material properties, and weight of all objects are known in advance, cutting out all those tasks requiring (i) adaptation to changing object properties and (ii) fine manipulation skills not addressable by model-based approaches.</p>
<p> Recent advancements in robotics research underscore the importance of exploiting the link between robot perception and action, which, if considered as interconnected entities of a loop instead of separate processes, could improve geometric interpretation of perceptual information, estimation of object models, integration of grasp planning with machine learning, and long-horizon manipulation task sequences in industrial settings. Investigating the crucial relations between robot perception and action may contribute overcoming current limitations, towards unlocking a new era of industrial automation.</p>
<p> This workshop aims to bring together scientists from academia and experts from companies, who are actively engaged at the intersection of robotic manipulation and perception. The workshop seeks to foster collaboration and knowledge exchange and aims to drive progress in the field, enabling the development of more adaptive and intelligent robotic systems. Participants will have the opportunity to share their latest advancements and perspectives concerning robotic manipulation and perception for a diverse range of topics, including, but not limited to, deformable object manipulation, grasp stability, dexterous manipulation, active and interactive perception, robot learning, computer vision, tactile sensing, learning from demonstration.</p>
<ul class="actions">
<li><a href="#papers" class="button scrolly">Learn more</a></li>
</ul>
</div>
</section>
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<section id="program"class="wrapper alt style4">
<div class="inner">
<h3>Program (tentative)</h3>
<p>The workshop is planned for Monday May 13 2024</p>
<p>Following a tentative program.</p>
<div class="table-wrapper">
<table>
<thead>
<tr>
<th>Time</th>
<th>Speaker</th>
<th>Title</th>
</tr>
</thead>
<tbody>
<tr>
<td>-8:30 (GMT+4)</td>
<td>Organizers</td>
<td>Intro</td>
</tr>
<tr>
<td>8:30-9:00 (GMT+4)</td>
<td><strong><a href="https://webapps.unitn.it/du/en/Persona/PER0239650/Didattica">Matteo Saveriano</a></strong></td>
<td>Continual learning for robotic manipulation: Safety, Stability, and Scalability </td>
</tr>
<tr>
<td>9:10-9:20 (GMT+4)</td>
<td><strong><a href="https://www.ias.informatik.tu-darmstadt.de/Team/GeorgiaChalvatzaki"> Georgia Chalvatzaki</a></strong></td>
<td>Intro</td>
</tr>
<tr>
<td>9:20-9:50 (GMT+4)</td>
<td><strong><a href="https://sites.google.com/site/yuehuweb/home">Yue Hu</a></strong></td>
<td> TBD </td>
</tr>
<tr>
<td>9:50-10:00 (GMT+4)</td>
<td><strong><a href="https://www.iit.it/people-details/-/people/arash-ajoudani"> Arash Ajoudani </a></strong></td>
<td> TBD </td>
</tr>
<tr>
<td>10:00-11:00 (GMT+4)</td>
<td> Coffe Break </td>
<td> </td>
</tr>
<tr>
<td>11:00-11:30 (GMT+4)</td>
<td><strong><a href="https://www.supsi.ch/loris-roveda">Loris Roveda</a></strong></td>
<td> TBD </td>
</tr>
<tr>
<td>11:30-11:40 (GMT+4)</td>
<td><strong><a href="https://rmc.dlr.de/rm/en/staff/joao.silverio/"> João Silvério</a></strong></td>
<td> Probabilistic learning of assistive robot skills with the human in the loop. </td>
</tr>
<tr>
<td>11:40-12:10 (GMT+4)</td>
<td><strong><a href="https://www.lirmm.fr/andrea-cherubini/"> Andrea Cherubini </a></strong></td>
<td> Robot perception for interacting with humans and for manipulating soft objects </td>
</tr>
<tr>
<td>12:10-12:45 (GMT+4)</td>
<td> Organizers </td>
<td> Panel discussion with the speaker and Best Poster Award winner </td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<!-- call for papers -->
<section id="papers" class="wrapper style4 fullscreen fade-up">
<div class="inner">
<h2>Call for papers</h2>
<p> We invite participants to submit extended abstracts <b>3+n</b> pages, with n pages (no page-limit) for the bibliography, in the <a href="https://journals.ieeeauthorcenter.ieee.org">IEEE conference style</a>. </p>
<p> Submissions will be reviewed by experts of their respective field. The accepted abstracts will be made available on the workshop website but will not appear in the official IEEE conference proceedings.
Participants are encouraged to submit their recent work on the topics of interest mentioned above.
Contributions are encouraged, but are not required, to be original. </p>
<p> The review process will be single-blind, meaning the submitted paper does not need to be anonymized.</p>
<p> Abstracts can be submitted through TODO: <a href="https://link_TBD.com" target="_blank" class="to-red-mobile">https://link_TBD.com</a>.</p>
<div class="row">
<div class="col-6 col-12-medium">
<strong>Important dates</strong>
<ul>
<li>Submission Deadline: <b>01.09.2024 (23:59 PST) </b></li>
<li>Notification date: <b>01.10.2024 (23:59 PST) </b></li>
<li>Final submission: <b>15.10.2024 (23:59 PST) </b></li>
<li>Workshop date: <b> 14.10.2024 </b> </li>
</ul>
We look forward to receiving your submissions!</p>
<a href="https://cmt3.research.microsoft.com/LHMP2024/Submission/Index" class="button">Submit</a>
</div>
<div class="col-6">
<div class="row">
<div class="col-12">
<strong>Topics of Interest</strong>
</div>
</div>
<div class="row">
<div class="col-6">
<div class="half-list">
<ul>
<li>Deformable objects manipulation</li>
<li>Dexterous manipulation</li>
<li>Grasp stability</li>
<li>Interactive and active robot perception</li>
<li>Tactile sensing</li>
<li>Telemanipulation</li>
<li>Shared Control</li>
<li>Learning from demostration</li>
<li>Human-robot Collaboration</li>
<li>Industrial applications</li>
</ul>
</div>
</div>
<div class="col-6">
<div class="half-list">
<ul>
<li> Robot learning</li>
<li>Computer vision</li>
<li>Anticipation of group and crowd motion</li>
<li>Human motion prediction and safety</li>
<li>Human-robot Interaction considering predictions</li>
<li>Evaluation of prediction algorithms: datasets, metrics and benchmarks</li>
<li>Predictive planning and control</li>
<li>Applications of motion prediction techniques</li>
<li>Visual scene prediction</li>
</ul>
</div>
</div>
</div>
</div>
</div>
<!--
<h3>IEEE RAS Computer & Robot Vision workshop award</h3>
<p>We are happy to announce the <b>WDO Best Paper Award </b> sponsored by the IEEE RAS Technical Committee Computer & Robot Vision.
The selected paper will receive a <b> prize of 300$</b>.
Any contribution submitted to the workshop will be automatically considered for the award.</p>
-->
<h3>Workshop award</h3>
<p>We are currently investigating the possibility to have a <b>Best Paper Award </b> sponsored by one of the supporting the IEEE RAS Technical Committee.
Any contribution submitted to the workshop will be automatically considered for the award.</p>
</div>
</section>
<!-- Organizers -->
<section id="organizers" class="wrapper alt style4">
<div class="inner">
<h2 class="major">Organizers</h2>
<div class="box alt">
<div class="row gtr-uniform">
<div class="col-3">
<span class="image fit"><img src="images/Organizers/kg.jpeg"
alt="" /></span>
<p><a href="https://www.unibo.it/sitoweb/kevin.galassi2">
<strong>Kevin Galassi</strong>,</br>University of Bologna, Italy</a></p>
</div>
<div class="col-3">
<span class="image fit"><img src="images/Organizers/ac.jpeg"
alt="" /></span>
<p><a href="https://www.unibo.it/sitoweb/alessio.caporali2">
<strong>Alessio Caporali</strong>,</br>University of Bologna, Italy</a></p>
</div>
<div class="col-3">
<span class="image fit"><img src="images/Organizers/rm.jpeg"
alt="" /></span>
<p><a href="https://www.unibo.it/sitoweb/roberto.meattini">
<strong>Roberto Meattini</strong>,</br> University of Bologna, Italy</a></p>
</div>
<div class="col-3">
<span class="image fit"><img src="images/Organizers/lr.jpeg" alt="" /></span>
<p> <a href="https://www.supsi.ch/loris-roveda">
<strong>Loris Roveda</strong>,</br> IDSIA-SUPSI/USI, Switzerland</a></p>
</div>
</div>
</div>
</section>
<!-- Support -->
<section id="support" class="wrapper style3 fade-up">
<div class="inner">
<h2>Supported by</h2>
<div class="split style1">
<section>
<ul class="contact">
<li><a href="https://www.ieee-ras.org/collaborative-automation-for-flexible-manufacturing"> IEEE RAS TC for Collaborative Automation For Flexible Manufacturing </a>
<li><a href="https://www.ieee-ras.org/machine-learning-for-automation"> IEEE RAS TC for Machine Learning for Automation </a>
</ul>
</section>
</div>
<h2>Endorsement</h2>
<!--
<div class="row gtr-uniform container">
<div class="text-container">
<p> This workshop received the endorsement by the project "AI-Powered Manipulation System for Advanced Robotic Service, Manufacturing and Prosthetics" (INTELLIMAN)</p>
<p> Founded by Grant agreement ID: 101070136</p>
<p> https://intelliman-project.eu/ </p>
</div>
<div class="col-3 image-container">
<img src="images/logo_lungo.png"
alt="" />
</div>
</div>
-->
<div class="row gtr-uniform container">
<p> This workshop received the endorsement by the project "AI-Powered Manipulation System for Advanced Robotic Service, Manufacturing and Prosthetics" (INTELLIMAN)</p>
<p> Founded by Grant agreement ID: 101070136</p>
<p> https://intelliman-project.eu/ </p>
<img src="images/logo_lungo.png" alt="" style="width: 100%;" />
</div>
</div>
</section>
<!-- Contact -->
<section id="contact" class="wrapper style1 fade-up">
<div class="inner">
<h2>Get in touch</h2>
<p>In case you wish to get more information feel free to reach us via e-mail!</p>
<div class="split style1">
<section>
<ul class="contact">
<li>
<h3>Email</h3>
<a href="#">kevin.galassi2@unibo.it</a>
</li>
<li>
<h3>Social</h3>
<ul class="icons">
<li><a href="https://www.youtube.com/@tbd" class="icon brands fa-youtube"><span class="label">Instagram</span></a></li>
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</section>
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