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IIS Webadmin
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 ===== Working With Us =====
+  * We are hiring [[jobs|two doctoral students]] in machine learning for computer vision or robotics.
   * Check our thesis topics for [[theses/start|Bachelor and Master students]].
+ <html><!--
+ * [[https://ellis.eu/|ELLIS]] PhD Program: [[https://ellis.eu/news/ellis-phd-program-call-for-applications-deadline-november-15-2021|Call for Applications]]
+--></html>
+<html><!--
 //Bachelor students://{{ ::mobile-manipulator-crop.jpg?nolink&100|}} **Want to create artificial intelligence for autonomous robots?** Want to join our [[@/uibk/piater/courses/RC_Poster2.pdf |interdisciplinary LFUI team]] to compete in the 2020 [[https://www.robocup.org/leagues/16|RoboCup@Work]] competition? Take the [[https://lfuonline.uibk.ac.at/public/lfuonline_lv.details?sem_id_in=19W&lvnr_id_in=703135|Introduction to Robotics]] course in the winter semester 2019-20!
+--></html>
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 ===== News =====
-<HTML><table><tr valign="top"><td>2020-03-19</td><td>Justus Piater gives an invited talk <i>Machine Learning in Robotics</i> at <a href="https://baiome.org/">bAIome PI Talk</a>, Center for Biomedical AI at the University Medical Center
+<HTML><table><tr valign="top"><td>2022-06-02</td><td>Erwan Renaudo contributes a talk <i>Deep Learning for Fast Segmentation of E-waste Devices’
-    Hamburg-Eppendorf. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Machine Learning increasingly equips robots with
+    Inner Parts in a Recycling Scenario</i> at <a href="https://icprai2022.sciencesconf.org/">ICPRAI 2022</a>, Paris/online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Recycling obsolete electronic devices (E-waste) is a
-    learning capabilities and flexibility.  This will enable them to
+    dangerous task for human workers. Automated E-waste recycling
-    act purposefully in unstructured environments and to react to
+    is an area of great interest but challenging for current robotic
-    unforeseen events.  People can teach them intuitively to perform
+    applications. We focus on the problem of segmenting inner parts
-    tasks instead of having to program them in painstaking ways.
+    of E-waste devices into manipulable elements. First, we extend
-    Robots can learn from experience and can improve their behavior
+    a dataset of hard-drive disk (HDD) components with labelled
-    over time.  In this talk I will give an overview of methods,
+    occluded and non-occluded points of view of the parts, in order
-    opportunities, and challenges of machine learning in
+    to increase the diversity and the quality of the learning data
-    robotics.</blockquote></td></tr><tr valign="top"><td>2020-01-29</td><td>Justus Piater gives an invited talk <i>Digital Science</i> at <a href="https://www.graduateacademy.uni-heidelberg.de/karriere/veranstaltungsreihen.html">Vortragsreihe
+    with different angles. We then perform an extensive evaluation
-    „Primers for Predocs – Strategien für eine erfolgreiche
+    with three different state-of-the-art models, namely CenterMask,
-    Promotion“</a>, Universität Heidelberg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">Massive availability of data and computing power are
+    BlendMask and SOLOv2 (including variants) and two types of
-    promoting data-driven methods in all areas of science and
+    metrics: the average precision as well as the frame rate. Our
-    technology.  I will describe how the University of Innsbruck
+    results show that instance segmentation using state-of-the-art
-    supports this via its new Digital Science Center, and will give a
+    deep learning methods can precisely detect complex shapes along
-    flavor of machine learning for data analysis.</blockquote></td></tr><tr valign="top"><td>2020-01-20</td><td>Joanna Chimiak-Opoka, Carina König, and Justus Piater appear in the media: <a href="https://www.uibk.ac.at/newsroom/ergaenzung-digital-science-erfolgreich-gestartet.html.de">Ergänzung Digital Science erfolgreich gestartet – UIBK Newsroom</a>.</td></tr><tr valign="top"><td>2020-01-03</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz: Grundlagen, Erfolge,
+    with their boundaries, as well as being suited for fast tracking of
-    Herausforderungen</i> at 47. Tagung des Innsbrucker Kreises von MoraltheologInnen
+    parts in a robotic recycling system. (Rojas et  al. 2022)
-    und SozialethikerInnen, Innsbruck.</td></tr><tr valign="top"><td>2019-12-19</td><td>Justus Piater appears in the media: <a href="https://tvthek.orf.at/profile/Tirol-heute/70023/Tirol-heute/14035670/Alexa-Siri-Co-Spione-im-eigenen-Haus/14610743">TV interview by ORF 2 Tirol Heute RedHaus (in German)</a>.</td></tr><tr valign="top"><td>2019-12-12</td><td>Justus Piater gives an invited lecture <i>Too Smart to Be Trusted – Do I Even Want to
+    </blockquote></td></tr><tr valign="top"><td>2022-05-20</td><td>Justus Piater appears in the media: <a href="https://radiothek.orf.at/podcasts/tir/derwoche/derwoche-maschinenzukunft">ORF
-    Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series
+    Tirol Podcast (in German)</a>. (Künstliche Intelligenz (KI) ist bereits heute ein täglicher Begleiter, doch vom universellen Haushaltsroboter sind wir noch weit entfernt. Automatisierte Systeme werden zwar Jobs übernehmen, Maschinen werden aber noch lange nicht die Weltherrschaft an sich reißen, falls überhaupt. Zur Langen Nacht der Forschung spricht Martin Kubin im #derWoche „Maschinenzukunft“ mit Prof. Justus Piater vom Institut für Informatik über Chancen und Gefahren von KI. Er weiß auch, warum KI etwa die Justiz unterstützen kann, aber ein KI-Richter niemals objektiv urteilen könnte.)</td></tr><tr valign="top"><td>2022-05-17</td><td>Erwan Renaudo gives an invited talk <i>A Brief tour of autonomous robots' &quot;Cognition&quot;</i> at <a href="https://www.philosophie.uni-konstanz.de/ag-mueller/aktuelles/meldungsdetails-ag-mueller/2022/5/17/event/46426-Creating-Agency-and-Cogn/tx_cal_phpicalendar/">Creating Agency and Cognition in Automated Systems: What can we learn from the Octopus? International Hybrid Workshop</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">In the design of &quot;Cognitive Robots&quot; software architectures,
-    Trust in Robots</a>, TU Vienna.</td></tr><tr valign="top"><td>2019-12-05</td><td>IIS guest <span style="font-weight:bold">Heiko Neumann</span>, University of Ulm,  gives an invited colloquium <i>Biologically inspired visual-auditory processing – from
+    researchers had to face many organizational problems due to
-    brain-like computation to neuromorphic algorithms</i> at <a href="https://www.uibk.ac.at/informatik/forschung/lunchtime-seminar/index.html.en">IFI Lunchtime Seminar</a>. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">A fundamental task of sensory processing is to detect
+    the particular nature of robots. Not only should they manage
-    and integrate feature items to group them into perceptual units
+    to achieve complex tasks with long-terms goals, but they must
-    segregating them from other objects and the background. A
+    also be reactive to their surroundings to preserve their environment.
-    framework is discussed which explains how perceptual grouping at
+    We will go over several layered control paradigms developed over
-    early as well as higher-level cognitive stages may be implemented
+    the history of robotics and see how these can relate to the
-    in cortex. Different grouping mechanisms are implemented which are
+    knowledge about the Octopus' brain organization, and discuss
-    attuned to basic features and feature combinations and mainly
+    how the Octopus itself can inspire cognitive robotic research.
-    evaluated along the forward sweep of stimulus processing. However,
+    </blockquote></td></tr><tr valign="top"><td>2022-05-11</td><td>Justus Piater gives an invited talk <i>Robots That Learn Like Humans?</i> at <a href="https://pintofscience.at/events/innsbruck">Pint of
-    due to limitations of local feature detection mechanisms and
+    Science</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">Wouldn't it be great to have a helper robot that we can
-    inherent ambiguities, top-down feedback is required to deliver
+    task with our annoying chores? How would we teach the robot to
-    contextual information helping to disambiguate initial
+    perform these tasks? Can we build such robots by equipping them
-    measurements. Feedback of contextual information is demonstrated
+    with artificial intelligence? We will discuss how human and
-    to improve object recognition performance, stabilize learning of
+    machine learning differ and how this impacts what skills,
-    object categories, and integrate multi-sensory representations.
+    including for communication, our helper robot will be able to
+    learn.</blockquote></td></tr><tr valign="top"><td>2022-04-28</td><td>Simon Haller-Seeber contributes a talk <i>STAIR Learning Lab</i> at <a href="http://rie.science">Robotics in Education 2022</a>, online.</td></tr><tr valign="top"><td>2022-02-19</td><td>Justus Piater gives an invited talk <i>Learning as a Creative Process in Humans and
-    The canonical principles of neural computation define a set of
+    Machines</i> at <a href="https://www.philosophie.uni-konstanz.de/ag-mueller/online-workshop-on-agency-life-and-creativity/">Workshop
-    core operations to implement above-mentioned mechanisms of
+    on “Agency, Life, and Creativity”</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem5', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem5Abstract" style="display:none">Humans constantly engage in creative activity such as
-    perceptual and cognitive inference. These operations can be
+    finding explanations, improving technology, or solving novel
-    mapped, in a simplified form, onto neuromorphic platforms to
+    problems in everyday life. Even imitating other humans, e.g. while
-    emulate brain-like computation. It is demonstrated that an
+    learning a new skill, is creative in that the imitator has to
-    architecture composed of canonical circuit mechanisms can be
+    infer the conceptual structure underlying the observed
-    mapped onto neuromorphic chip technology facilitating low-energy
+    manifestation and to regenerate the latter from the former. In
-    non-von Neumann computation.</blockquote></td></tr><tr valign="top"><td>2019-11-26</td><td>IIS guest <span style="font-weight:bold">Tamim Asfour</span>, Karlsruhe Institute of Technology,  gives an invited keynote <i>Engineering Humanoids with Motion Intelligence</i> at <a href="https://www.uibk.ac.at/informatik/studium/inday-students/index.html.en">inday students</a>. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" style="display:none">Humanoid robotics plays a central role in robotics
+    contrast, current AI-enabled agents are unable to generate and
-    research as well as in understanding intelligence. Engineering
+    draw upon such conceptual structures. Their learning is mostly
-    humanoid robots that are able to learn from humans and
+    driven by statistics, and any ability to produce novelty is
-    sensorimotor experience, to predict the consequences of actions
+    largely limited to trial and error. I will try to characterize
-    and exploit the interaction with the world to extend their
+    this fundamental difference between learning in human and
-    cognitive horizon remains a research grand challenge. Currently,
+    artificial agents, and will discuss possible technological
-    we are experiencing AI systems with superhuman performance in
+    approaches that might help close this gap.</blockquote></td></tr><tr valign="top"><td>2021-11-24</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.linkedin.com/posts/elsa-innsbruck_letzte-woche-fand-zum-elsa-day-am-24112021-activity-6871397038093869057-16-7">Privacy
-    games, image and speech processing. However, the generation of
+    in the Digital Age</a>, online. (Organized by ELSA Innsbruck)</td></tr><tr valign="top"><td>2021-10-22</td><td>Justus Piater gives an invited talk <i>Robotik und KI in der Medizin – nur
-    robot behaviors with human-like motion intelligence and
+    Bedarfserweckung?</i> at <a href="https://medical-update-hall.com/veranstaltungen/">Medical
-    performance has yet to be achieved. In this talk, I will present
+    Update Hall 2021 – Fit für das neue Jahrzehnt</a>, UMIT, Hall in Tirol.</td></tr><tr valign="top"><td>2021-08-26</td><td>Justus Piater contributes a talk <i>Digital Science at the University of Innsbruck</i> at Aurora Research Conference Digital Society &amp; Global Citizenship, Vrije Universiteit Amsterdam. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" style="display:none">Growing data processing capacities and progress in
-    recent progress towards engineering 24/7 humanoid robots that link
+    analytical methods and artificial intelligence are motivating
-    perception and action to generate intelligent behavior. I will
+    entire branches of science to raise new questions and to develop
-    show the ARMAR humanoid robots performing complex grasping and
+    new approaches. This digital transformation requires progressive,
-    manipulation tasks in kitchen and industrial environments,
+    interdisciplinary synergies between the computational sciences and
-    learning actions from human observation and experience as well as
+    all other scientific disciplines.  The Digital Science Center
-    reasoning about object-action relations.</blockquote></td></tr><tr valign="top"><td>2019-11-25</td><td>Justus Piater gives an invited talk <i>Enabling Robots to Learn Abstract Concepts</i> at <a href="https://tricolore.inf.unibz.it/tricolore2019/program/">TriCoLore
+    (DiSC) at the University of Innsbruck meets this challenge by
-    – Creativity | Cognition | Computation</a>, Bolzano, Italy.</td></tr><tr valign="top"><td>2019-11-18</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz in einer menschlichen
+    integrating and promoting digitalisation of scientific research.
-    Gesellschaft</i> at Robotik in Medizin und Pflege – Jubiläumssymposium
+    In this talk I will present some examples of interdisciplinary
-    des Klinischen Ethikkommittees, A.ö. Landeskrankenhaus – Universitätskliniken
+    research by DiSC staff researchers who are experts in specific
-    Innsbruck.</td></tr></table></HTML>
+    aspects of digital science.</blockquote></td></tr><tr valign="top"><td>2021-08-24</td><td>Justus Piater teaches a tutorial <i>Picking and Placing</i> at <a href="https://www.uibk.ac.at/informatik/forschung/gmar-robotics-school-2021.html">2021 GMAR Summer School</a>, Villa Blanka, Innsbruck.</td></tr></table></HTML>
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