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| ===== Working With Us ===== | ===== Working With Us ===== | ||
| - | * We currently have [[jobs|one open PhD position]]. | ||
| * Check our thesis topics for [[theses/start|Bachelor and Master students]]. | * 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. | ||
| + | |||
| + | <html><!--We currently have [[jobs|one open PhD position]].--></html> | ||
| <html><!-- | <html><!-- | ||
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| </html> | </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 ===== | ===== News ===== | ||
| - | <HTML><table><tr valign="top"><td>2024-05-28</td><td>Justus Piater gives an invited colloquium <i>Making robots learn to perceive and act with | + | <HTML><table><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('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">As artificial intelligence reshapes our digital world at a breathtaking pace, |
| - | 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('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">The title of this talk is the motto of my Intelligent | + | a curious question arises: Where are all the real-world, intelligent robots? |
| - | and Interactive Systems group at the University of Innsbruck. Our | + | While we have mastered the generation of text, images, and video by leveraging vast web-scale datasets, |
| - | long-term objective is to improve abstraction, generalization, | + | robotics still faces a fundamental data bottleneck. Reinforcement learning (RL) offers a compelling solution, |
| - | robustness, and ultimately explainability of robot perception and | + | enabling agents to learn autonomously by collecting their own experience. |
| - | action. Motivated by shortcomings of current machine-learning | + | However, the path to autonomy is often blocked by the staggering inefficiency of current RL algorithms, |
| - | methods, I will argue that "understanding" is a meaningful notion | + | which can require millions of trials to master simple tasks. This talk embarks on a quest to tackle this |
| - | in AI that reaches beyond prediction and control. I will discuss | + | efficiency problem head-on. I will argue that a crucial step toward unlocking the potential of |
| - | examples of our recent work on learning visual relational | + | robot learning lies in a two-pronged approach: first, by developing statistically efficient |
| - | concepts, extrapolation of learned movements beyond the training | + | algorithms that can reuse data by leveraging sound off-policy techniques, and second, |
| - | distribution, learning of symbolic concepts and rules, and | + | by designing better action representations for physical, real-world agents. |
| - | structure-driven skill learning from sensorimotor | + | By making our algorithms more efficient and refining their core hypotheses, |
| - | experience.</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 | + | 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 |
| - | Sek. 1</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben | + | understanding</i> at <a href="https://www.uibk.ac.at/en/congress/multibody2025/">The |
| - | im Laufe des letzten Jahres begonnen, unsere Welt zu verändern. | + | 12th ECCOMAS Thematic Conference on Multibody Dynamics</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem1', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem1Abstract" style="display:none">The flexibility and robustness of current robots is |
| - | Wie können wir sie produktiv nutzen? Wie können wir mit den | + | limited by their lack of understanding of their environment. For |
| - | Herausforderungen umgehen, die durch sie entstehen? Ich werde | + | this reason, most robots operate in controlled environments. |
| - | diese Fragen von der technischen Seite her angehen und einen | + | Machine learning can circumvent modeling problems but introduces |
| - | Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus | + | new problems of generalizing from examples. How can robots acquire |
| - | ergeben sich ein realistisches Verständnis für ihre Möglichkeiten | + | understanding (of structure, function, causality, etc.) that |
| - | und Grenzen sowie einige grundlegende Empfehlungen für den Umgang | + | allows them to generalize from sparse experience? Motivated by |
| - | 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 | + | shortcomings of current machine-learning methods, I will argue |
| - | Sek. 2</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben | + | that "understanding" is a meaningful notion in AI that reaches |
| - | im Laufe des letzten Jahres begonnen, unsere Welt zu verändern. | + | beyond prediction and control. I will discuss examples of our |
| - | Wie können wir sie produktiv nutzen? Wie können wir mit den | + | recent work on learning visual relational concepts, extrapolation |
| - | Herausforderungen umgehen, die durch sie entstehen? Ich werde | + | of learned movements beyond the training distribution, learning of |
| - | diese Fragen von der technischen Seite her angehen und einen | + | symbolic concepts and rules, and structure-driven skill learning |
| - | Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus | + | from sensorimotor experience. Our long-term objective is to |
| - | ergeben sich ein realistisches Verständnis für ihre Möglichkeiten | + | improve abstraction, generalization, robustness, and ultimately |
| - | und Grenzen sowie einige grundlegende Empfehlungen für den Umgang | + | 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: |
| - | 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 | + | 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 |
| - | 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 | + | Seminar: AI in Law and Practice: Regional Perspectives on European |
| - | Symposium on AI, Robotics, and Vision 26.–27.3.2024</a>.</td></tr><tr valign="top"><td>2024-03-21</td><td>Simon Haller-Seeber, Christopher Kelter, and Patrick Hofmann 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>2024-03-14</td><td>Justus Piater gives an invited talk <i>The IMAGINE Project: Robot Intuition and Understanding for | + | 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 |
| - | Disassembly</i> at <a href="https://reconcycle.eu/erf2024/">Adaptive Robotics for | + | gleich berechtigt als später: Hallo KI, hilfst du uns bei der |
| - | Recycling of Electronic Devices</a>, Rimini, Italy. (Workshop at the European Robotics Forum)</td></tr><tr valign="top"><td>2024-03-14</td><td>Justus Piater co-organizes the <a href="https://reconcycle.eu/erf2024/">Adaptive Robotics for | + | Gleichstellung?!</a>, Tiroler Bildungsinstitut Grillhof Vill. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">Künstliche Intelligenz" bezeichnet derzeit Systeme, die |
| - | Recycling of Electronic Devices</a>.</td></tr><tr valign="top"><td>2024-01-16</td><td>Samuele Tosatto gives an invited talk <i>Beyond Monte Carlo Off-Policy Policy Gradient</i> at <a href="https://www.wim.uni-mannheim.de/doering/conferences/rl-2024">Mini-Workshop on Reinforcement Learning</a>, University of Mannheim.</td></tr><tr valign="top"><td>2023-12-01</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.mediengipfel.at/at/archiv/veranstaltungen/2023.php">15. | + | auf maschinellem Lernen (ML) basieren. Dieser Workshop führt in |
| - | Europäischer Mediengipfel</a>, Lech/Arlberg. (Wissenschaftsforum zum Thema „Künstliche Intelligenz – Fluch oder Segen für Politik, Medien, Wirtschaft und Wissenschaft?)</td></tr></table></HTML> | + | 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><tr valign="top"><td>2025-02-26</td><td>Marko Zarić teaches a tutorial <i>Einführung in das Programmieren mit Microcontrollern</i> at STAIR-Lab INNALP Workshop für das Gymnasium Ursulinenen Innsbruck, Universität Innsbruck.</td></tr></table></HTML> | ||
| [[news|Older News]] | [[news|Older News]] | ||