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--- start [2018/09/04 10:08]
Simon Haller-Seeber
+++ start [2025/11/07 06:25] (current)
IIS Webadmin
@@ Line 11: / Line 11: @@
 ===== Working With Us =====
+  * 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
+  * We currently do not have any open PhD positions.
-  * We are hiring an **Assistant Professor (with Tenure-Track Option)** of Computer Science in [[jobs|Embodied Artificial Intelligence and Machine Learning]].  Applications must be received by August 29, 2018.
+<html><!--We currently have [[jobs|one open PhD position]].--></html>
-  * Check our thesis topics for [[theses/start|Bachelor and Master students]].
+<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>
+<div style="clear:both"><br></div>
+</html>
-{{::iis-2017.jpg?570|Group Picture}}\\
+{{ ::iis_retreat_2024.jpg?direct&900 |}}\\
-Group picture taken at our retreat in Obergurgl
+<html>
+<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>2018-07-17</td><td>Simon Haller and Nicolas Stolz appear in the media: <a href="https://www.uibk.ac.at/informatik/news/medienspiegel/nachlesen/2018_07_17_roboter_zu_besuch_in_liechtenstein-liechtensteiner-vaterland.pdf">
+<HTML><table><tr valign="top"><td>2025-11-19</td><td>Justus Piater gives an invited talk <i>Structural Understanding – The Grand Challenge of Robot
-    Roboter zu Besuch in Liechtenstein
+    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('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">AI has made great progress in recent years, and the
-    </a>.</td></tr></table></HTML>
+    sophistication of robots has been rising with costs falling. Yet,
+    the capabilities of AI-enabled robots are not keeping pace. I
-[[news|Older News]]
+    argue that this is due to a lack of structural understanding by
+    current AI systems. I will discuss several lines of research in my
-===== Postal Address =====<tr valign="top"><td>2018-07-03</td><td>Simon Haller teaches a tutorial <i>Wie kann ein Roboter lernen, die Welt zu verstehen?</i>, Campustag BORG Schwaz, Universität Innsbruck.</td></tr></table></HTML>
+    lab that seek to enable robots to generalize better and learn
+    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('newsitem1', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem1Abstract" style="display:none">As artificial intelligence reshapes our digital world at a breathtaking pace,
-[[news|Older News]]
+    a curious question arises: Where are all the real-world, intelligent robots?
+    While we have mastered the generation of text, images, and video by leveraging vast web-scale datasets,
-===== Postal Address =====<tr valign="top"><td>2018-06-30</td><td>Philipp Zech, Barry Ridge, and Emre Ugur co-organize the <a href="https://afford.gitlab.io/rss-workshop/">1st
+    robotics still faces a fundamental data bottleneck. Reinforcement learning (RL) offers a compelling solution,
-    International Workshop on Computational Models of Affordance in
+    enabling agents to learn autonomously by collecting their own experience.
-    Robotics</a>.</td></tr></table></HTML>
+    However, the path to autonomy is often blocked by the staggering inefficiency of current RL algorithms,
+    which can require millions of trials to master simple tasks. This talk embarks on a quest to tackle this
+    efficiency problem head-on. I will argue that a crucial step toward unlocking the potential of
+    robot learning lies in a two-pronged approach: first, by developing statistically efficient
+    algorithms that can reuse data by leveraging sound off-policy techniques, and second,
+    by designing better action representations for physical, real-world agents.
+    By making our algorithms more efficient and refining their core hypotheses,
+    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
+    understanding</i> at <a href="https://www.uibk.ac.at/en/congress/multibody2025/">The
+th ECCOMAS Thematic Conference on Multibody Dynamics</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">The flexibility and robustness of current robots is
+    limited by their lack of understanding of their environment. For
+    this reason, most robots operate in controlled environments.
+    Machine learning can circumvent modeling problems but introduces
+    new problems of generalizing from examples. How can robots acquire
+    understanding (of structure, function, causality, etc.) that
+    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><tr valign="top"><td>2025-04-25</td><td>Simon Haller-Seeber gives an invited talk <i>AI-powered tools for real-time transcription and translation in action: A self-hosted open-source framework for digital spaces.</i> at <a href="https://www.uibk.ac.at/de/medien/veranstaltungen/tagungen/medien-wissen-bildung-2025/">Medien - Wissen - Bildung 2025: Streifzüge an den Nahtstellen von Medien, Bildung und Philosophie</a>, Universität Innsbruck.</td></tr><tr valign="top"><td>2025-04-10</td><td>Simon Haller-Seeber gives an invited keynote <i>Hands-on Approaches to Software, Robotics, and AI: Exploring Experiments and Science in Action</i> at <a href="https://iis.uibk.ac.at/public/simon/ECER-2025/">European Conference on Educational Robotics (ECER 2025)</a>, HTL Anichstrasse.</td></tr><tr valign="top"><td>2025-04-10</td><td>Simon Haller-Seeber and Christopher Kelter teach a tutorial <i>Was sind Roboter, was macht eine KI? Entwickle deine eigene KI und programmiere unsere Minibots</i> at Campustag BG/BRG Sillgasse, Universität Innsbruck.</td></tr><tr valign="top"><td>2025-04-03</td><td>Justus Piater gives an invited keynote <i>What is AI really?</i> at <a href="https://www.uibk.ac.at/events/2025/04/03/ai-in-law-and-practice-regional-perspectives-on-european-rules">Cross-Border
+    Seminar: AI in Law and Practice: Regional Perspectives on European
+    Rules</a>, Universität Innsbruck.</td></tr><tr valign="top"><td>2025-03-06</td><td>Justus Piater teaches a tutorial <i>Funktionsweise, Möglichkeiten und Grenzen von KI</i> at <a href="https://www.tirol.gv.at/fileadmin/themen/bildung/medienzentrum/downloads/07_Magazin_Co/2025_01.pdf">Lieber
+    gleich berechtigt als später: Hallo KI, hilfst du uns bei der
+    Gleichstellung?!</a>, Tiroler Bildungsinstitut Grillhof Vill. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" style="display:none">Künstliche Intelligenz&quot; bezeichnet derzeit Systeme, die
+    auf maschinellem Lernen (ML) basieren. Dieser Workshop führt in
+    die Grundlagen des ML ein, mit besonderem Augenmerk auf neuronale
+    Netze, der derzeit populärsten ML-Technologie. Darauf aufbauend
+    vermittelt er ein Grundverständnis für prinzipielle Möglichkeiten
+    und Grenzen von ML und warum es mit derzeitigen Mitteln extrem
+    schwierig ist, Diskriminierung in KI-Systemen zu
+    verhindern.</blockquote></td></tr><tr valign="top"><td>2025-02-26</td><td>Simon Haller-Seeber and Christopher Kelter teach a tutorial <i>Programmieren eines autonomen Roboters anhand einer selbstentwickelten KI</i> at STAIR-Lab INNALP Workshop für das Gymnasium Ursulinenen Innsbruck, Universität Innsbruck.</td></tr></table></HTML>
 [[news|Older News]]
@@ Line 47: / Line 94: @@
 Austria
-**How to find us:** See the [[http://informatik.uibk.ac.at/how-to-reach-us/|directions]].
+**How to find us:** See the [[https://www.uibk.ac.at/informatik/kontakt/anfahrt.html.en|directions]].
 **Legal Notice:** See the [[:impressum|Impress and Privacy Notice]].

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