Differences

This shows you the differences between two versions of the page.

--- start [2024/09/24 06:25]
IIS Webadmin
+++ start [2026/06/25 06:25] (current)
IIS Webadmin
@@ Line 11: / Line 11: @@
 ===== Working With Us =====
+  * We are hiring [[:jobs:|1 Postdoc and 3 PhD Students in Robot Learning]].
   * Check our thesis topics for [[theses/start|Bachelor and Master students]].
+  * [[:jobs:#notice_for_non-eueea_prospective_master_students|Notice]] for non-[[https://en.wikipedia.org/wiki/EU|EU]]/[[https://en.wikipedia.org/wiki/European_Economic_Area|EEA]] prospective Master students
-<html><!--We currently have [[jobs|one open PhD position]].--></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>
 <html>
@@ Line 23: / Line 22: @@
 </html>
+{{ ::iis_retreat_2024.jpg?direct&900 |}}\\
-{{ ::iis-2022.jpg?direct&600 |}}\\
+<html>
-Group picture taken at our 2022 retreat in Obergurgl
+<div style="text-align: center;">
+  <p>Group picture taken at our 2024 retreat at Meissner Haus.</p>
+</div>
+</html>
 ===== News =====
-<HTML><table><tr valign="top"><td>2024-09-22</td><td>Justus Piater appears in the media: <a href="https://www.rainews.it/tgr/tagesschau/audio/2024/09/ist-kunstliche-intelligenz-dumm-3fd3b8d6-7234-4c46-8796-cf4f9ae63a40.html">Wie
+<HTML><table><tr valign="top"><td>2026-05-20</td><td>Simon Haller-Seeber appears in the media: <a href="https://www.digital.tirol/page.cfm?vpath=news&amp;rnpageid=42902">
-    gefährlich ist künstliche Intelligenz?</a>. (Radio-Interview in der Reihe „Wissenschaft und Technik – Wissen am Samstag“ auf RAI Südtirol) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Wie denkt KI? Ist sie bald dem Menschen überlegen? Kann
+        Digitale Bildung aktiv erleben: Der RoboCupJunior Austrian Open 2026 in Tirol</a>. (Interview im Rahmen des RoboCup Junior Austrian Open)</td></tr><tr valign="top"><td>2026-05-07</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.uibk.ac.at/de/medien-kommunikation/kommunikation/intern/">Invited
-    sie vielleicht sogar die Menschheit auslöschen?</blockquote></td></tr><tr valign="top"><td>2024-06-05</td><td>Justus Piater and Joanna Chimiak-Opoka teach a tutorial <i>Generative KI in 5 Minuten; Bilder erstellen mit KI</i> at <a href="https://www.uibk.ac.at/de/disc/events/discussion-ki-workshop/">Wie
+    expert interview on “Human-robotics relations: What does the
-    verwende ich KI? KI-Schnupperworkshop für Einsteiger:innen</a>, Stadtbibliothek Innsbruck. (Öffentliche Veranstaltung im Rahmen der Vortragsreihe DiSCussion des Digital Science Centers, organisiert gemeinsam mit dem Vizerektorat für Digitalisierung und Nachhaltigkeit)</td></tr><tr valign="top"><td>2024-06-01</td><td>Justus Piater appears in the media: <a href="https://www.tt.com/artikel/30883891/ki-hat-nur-so-viel-macht-wie-wir-ihr-geben-sind-die-warnungen-uebertrieben-oder-realistisch">„KI
+    future hold?”</a>, Innsbruck. (Public event organized by the Department of Media, Society and Communication, Universität Innsbruck)</td></tr><tr valign="top"><td>2026-04-15</td><td>Justus Piater gives an invited talk <i>Some Latest Results in Robot Learning of Structure by
-    hat nur so viel Macht, wie wir ihr geben“: Sind die Warnungen
+    Interaction</i> at <a href="https://airov.at/2026/workshop/TactileRobotics.html">Austrian
-    übertrieben oder realistisch?</a>. (Newspaper article in Tiroler Tageszeitung)</td></tr><tr valign="top"><td>2024-05-28</td><td>Justus Piater gives an invited colloquium <i>Making robots learn to perceive and act with
+    Robotics Workshop</a>, Leoben. (Annual workshop of the GMAR; at AIRoV 2026)</td></tr><tr valign="top"><td>2026-04-08</td><td>Simon Haller-Seeber and Justus Piater co-organize the <a href="https://robocupjunior.at/">RCJ2026 - Robocup Junior Austrian Open: 08.-10.4.2026</a>.</td></tr><tr valign="top"><td>2026-04-08</td><td>Justus Piater gives an invited talk <i>Generative KI: Funktionsweise, Möglichkeiten und
-    understanding</i> at <a href="https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/zentren/cognitive-science-in-tuebingen/colloquia/cognitive-science-colloquium/">Cognitive Science Colloquium</a>, Universität Tübingen. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">The title of this talk is the motto of my Intelligent
+    Grenzen</i> at SchulleiterInnen-Tagung „IT-Sicherheit und KI-Einsatz in
-    and Interactive Systems group at the University of Innsbruck. Our
+    der Schule“, Pädagogische Hochschule Tirol. (Veranstaltung für Schulleitungen der Bildungsdirektion für Tirol) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem5', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem5Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben
-    long-term objective is to improve abstraction, generalization,
+    die Welt im Sturm erobert. Wie können wir sie produktiv nutzen?
-    robustness, and ultimately explainability of robot perception and
+    Wie können wir mit den Herausforderungen umgehen, die durch sie
-    action. Motivated by shortcomings of current machine-learning
+    entstehen? Ich werde diese Fragen von der technischen Seite her
-    methods, I will argue that &quot;understanding&quot; is a meaningful notion
+    angehen und einen Eindruck davon vermitteln, wie diese Systeme
-    in AI that reaches beyond prediction and control. I will discuss
+    funktionieren. Daraus ergeben sich ein realistisches Verständnis
-    examples of our recent work on learning visual relational
+    für ihre Möglichkeiten und Grenzen sowie einige grundlegende
-    concepts, extrapolation of learned movements beyond the training
+    Empfehlungen für den Umgang mit ihnen im Schulbetrieb.</blockquote></td></tr><tr valign="top"><td>2026-03-31</td><td>Samuele Tosatto gives an invited keynote <i>Accelerating Reinforcement Learning with Off-Policy Data: Promises, Pitfalls, and Future Directions</i> at <a href="https://rl4aa.github.io/RL4AA26/">Reinforcement Learning For Autonomous Accelerators 2026</a>, Liverpool. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem6', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem6Abstract" style="display:none">Reinforcement learning is a promising technique for solving complex control problems in real-world physical systems, such as robotics, plasma stabilization, and particle accelerators. However, RL is often data-hungry, and its classic on-policy formulation is often inefficient, as it disallows data reuse, and unsafe, as it requires the agent to interact with the environment from scratch.
-    distribution, learning of symbolic concepts and rules, and
+Off-policy reinforcement learning offers a more appealing paradigm by enabling the reuse of historical data and the utilization of safe, external behavior sources (such as human operator logs). However, this flexibility comes at a cost: off-policy learning introduces significant theoretical instabilities. In this talk, we will analyze some fundamental difficulties in off-policy reinforcement learning, both in value and policy learning, explore the algorithmic landscape that tames them, and see the future direction in which the field is moving. </blockquote></td></tr><tr valign="top"><td>2025-11-19</td><td>Justus Piater gives an invited talk <i>Structural Understanding – The Grand Challenge of Robot
-    structure-driven skill learning from sensorimotor
+    Learning</i> at <a href="https://elliit.se/news-and-events/focus-period-lund-2025/symposium/">ELLIIT Focus Period Symposium: Robot Learning</a>, Lund University. (The ELLIIT Focus Period Symposium is the highlight of the five-week focus period, during which young international scholars, ELLIIT researchers and other well-established international academics gather in Lund to work together on joint research challenges.) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">AI has made great progress in recent years, and the
-    experience.</blockquote></td></tr><tr valign="top"><td>2024-04-28</td><td>Justus Piater appears in the media: <a href="https://www.wienerzeitung.at/a/ki-viel-leistung-aber-kein-verstand">KI: Viel Leistung, aber kein Verstand</a>. (Newspaper article in Wiener Zeitung) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem5', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem5Abstract" style="display:none">Einen Roboter, der seine Umwelt versteht und neue
+    sophistication of robots has been rising with costs falling. Yet,
-    Probleme selbstständig löst, gibt es noch nicht. Wie intelligent
+    the capabilities of AI-enabled robots are not keeping pace. I
-    ist Künstliche Intelligenz?</blockquote></td></tr><tr valign="top"><td>2024-04-27</td><td>Justus Piater appears in the media: Denn sie weiß (noch) nicht, was sie tut. (Newspaper article in Tiroler Tageszeitung supplement on artificial intelligence) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem6', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem6Abstract" style="display:none">Künstliche Intelligenz steckt heute in vielen Geräten
+    argue that this is due to a lack of structural understanding by
-    des Alltags. Doch bis Maschinen wirklich Verstehen lernen, haben
+    current AI systems. I will discuss several lines of research in my
-    KI-Systeme laut Informatiker Justus Piater von der Uni Innsbruck
+    lab that seek to enable robots to generalize better and learn
-    noch einen weiten Weg vor sich.</blockquote></td></tr><tr valign="top"><td>2024-04-25</td><td>Justus Piater gives an invited keynote <i>Generative KI: Möglichkeiten und Grenzen</i> at <a href="https://efuture-day.tsn.at/programm">eFuture-Day
+    faster thanks to explicit notions of structure.</blockquote></td></tr><tr valign="top"><td>2025-09-18</td><td>Samuele Tosatto gives an invited keynote <i>Where are all the intelligent robots? A quest for efficiency in reinforcement learning</i> at <a href="https://sarl-plus.github.io/RL-Bootcamp2025/">Reinforcement Learning Bootcamp 2025</a>, Salzburg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" style="display:none">As artificial intelligence reshapes our digital world at a breathtaking pace,
-    Sek. 1</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben
+    a curious question arises: Where are all the real-world, intelligent robots?
-    im Laufe des letzten Jahres begonnen, unsere Welt zu verändern.
+    While we have mastered the generation of text, images, and video by leveraging vast web-scale datasets,
-    Wie können wir sie produktiv nutzen? Wie können wir mit den
+    robotics still faces a fundamental data bottleneck. Reinforcement learning (RL) offers a compelling solution,
-    Herausforderungen umgehen, die durch sie entstehen? Ich werde
+    enabling agents to learn autonomously by collecting their own experience.
-    diese Fragen von der technischen Seite her angehen und einen
+    However, the path to autonomy is often blocked by the staggering inefficiency of current RL algorithms,
-    Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus
+    which can require millions of trials to master simple tasks. This talk embarks on a quest to tackle this
-    ergeben sich ein realistisches Verständnis für ihre Möglichkeiten
+    efficiency problem head-on. I will argue that a crucial step toward unlocking the potential of
-    und Grenzen sowie einige grundlegende Empfehlungen für den Umgang
+    robot learning lies in a two-pronged approach: first, by developing statistically efficient
-    mit ihnen im Schulbetrieb.</blockquote></td></tr><tr valign="top"><td>2024-04-24</td><td>Justus Piater gives an invited keynote <i>Generative KI: Möglichkeiten und Grenzen</i> at <a href="https://efuture-day-sek2.tsn.at/programm">eFuture-Day
+    algorithms that can reuse data by leveraging sound off-policy techniques, and second,
-    Sek. 2</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben
+    by designing better action representations for physical, real-world agents.
-    im Laufe des letzten Jahres begonnen, unsere Welt zu verändern.
+    By making our algorithms more efficient and refining their core hypotheses,
-    Wie können wir sie produktiv nutzen? Wie können wir mit den
+    we can accelerate the journey toward real embodied artificial intelligence.</blockquote></td></tr><tr valign="top"><td>2025-07-15</td><td>Justus Piater gives an invited keynote <i>Making robots learn to perceive and act with
-    Herausforderungen umgehen, die durch sie entstehen? Ich werde
+    understanding</i> at <a href="https://www.uibk.ac.at/en/congress/multibody2025/">The
-    diese Fragen von der technischen Seite her angehen und einen
+th ECCOMAS Thematic Conference on Multibody Dynamics</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem9', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem9Abstract" style="display:none">The flexibility and robustness of current robots is
-    Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus
+    limited by their lack of understanding of their environment. For
-    ergeben sich ein realistisches Verständnis für ihre Möglichkeiten
+    this reason, most robots operate in controlled environments.
-    und Grenzen sowie einige grundlegende Empfehlungen für den Umgang
+    Machine learning can circumvent modeling problems but introduces
-    mit ihnen im Schulbetrieb.</blockquote></td></tr><tr valign="top"><td>2024-04-22</td><td>Justus Piater gives an invited talk <i>Möglichkeiten der KI bei klangrelevanten Arbeitsschritten
+    new problems of generalizing from examples. How can robots acquire
-    im Fertigungsprozess</i> at Digitalwissenschaftlicher Bildungsnachmittag, Musikinstrumentenbauschule Mittenwald.</td></tr><tr valign="top"><td>2024-03-26</td><td>Justus Piater co-organizes the <a href="https://airov.at/">AIRoV – The First Austrian
+    understanding (of structure, function, causality, etc.) that
-    Symposium on AI, Robotics, and Vision 26.–27.3.2024</a>.</td></tr></table></HTML>
+    allows them to generalize from sparse experience? Motivated by
+    shortcomings of current machine-learning methods, I will argue
+    that &quot;understanding&quot; is a meaningful notion in AI that reaches
+    beyond prediction and control. I will discuss examples of our
+    recent work on learning visual relational concepts, extrapolation
+    of learned movements beyond the training distribution, learning of
+    symbolic concepts and rules, and structure-driven skill learning
+    from sensorimotor experience. Our long-term objective is to
+    improve abstraction, generalization, robustness, and ultimately
+    explainability of robot perception and action.</blockquote></td></tr><tr valign="top"><td>2025-07-11</td><td>Justus Piater and Alejandro Agostini give an invited talk <i>Learning Symbols and Abstractions in Robot Planning</i> at <a href="https://www.unibz.it/en/events/abstraction-language-science-engineering">Abstraction:
+    Language - Science - Engineering</a>, Bolzano. (International Workshop)</td></tr></table></HTML>
 [[news|Older News]]

User Tools

Site Tools

Differences

Page Tools