Differences

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

--- start [2022/01/03 10:59]
Justus Piater [Working With Us]
+++ start [2025/08/29 17:00] (current)
Justus Piater
@@ Line 12: / Line 12: @@
 ===== Working With Us =====
   * Check our thesis topics for [[theses/start|Bachelor and Master students]].
- <html><!--
+  * [[: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
- * [[https://ellis.eu/|ELLIS]] PhD Program: [[https://ellis.eu/news/ellis-phd-program-call-for-applications-deadline-november-15-2021|Call for Applications]]
+  * We currently do not have any open PhD positions.
---></html>
+<html><!--We currently have [[jobs|one open PhD position]].--></html>
 <html><!--
@@ Line 24: / Line 25: @@
 </html>
+{{ ::iis_retreat_2024.jpg?direct&900 |}}\\
-{{::dsc_0052.jpg?640|Group Picture}}\\
+<html>
-Group picture taken at our 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>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
+<HTML><table><tr valign="top"><td>2025-07-15</td><td>Justus Piater gives an invited keynote <i>Making robots learn to perceive and act with
-    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
+    understanding</i> at <a href="https://www.uibk.ac.at/en/congress/multibody2025/">The
-    Bedarfserweckung?</i> at <a href="https://medical-update-hall.com/veranstaltungen/">Medical
+th ECCOMAS Thematic Conference on Multibody Dynamics</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">The flexibility and robustness of current robots is
-    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('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">Growing data processing capacities and progress in
+    limited by their lack of understanding of their environment. For
-    analytical methods and artificial intelligence are motivating
+    this reason, most robots operate in controlled environments.
-    entire branches of science to raise new questions and to develop
+    Machine learning can circumvent modeling problems but introduces
-    new approaches. This digital transformation requires progressive,
+    new problems of generalizing from examples. How can robots acquire
-    interdisciplinary synergies between the computational sciences and
+    understanding (of structure, function, causality, etc.) that
-    all other scientific disciplines.  The Digital Science Center
+    allows them to generalize from sparse experience? Motivated by
-    (DiSC) at the University of Innsbruck meets this challenge by
+    shortcomings of current machine-learning methods, I will argue
-    integrating and promoting digitalisation of scientific research.
+    that &quot;understanding&quot; is a meaningful notion in AI that reaches
-    In this talk I will present some examples of interdisciplinary
+    beyond prediction and control. I will discuss examples of our
-    research by DiSC staff researchers who are experts in specific
+    recent work on learning visual relational concepts, extrapolation
-    aspects of digital science.</blockquote></td></tr><tr valign="top"><td>2021-08-24</td><td>Justus Piater contributes a lecture <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><tr valign="top"><td>2021-07-01</td><td>Justus Piater and Matteo Saveriano give an invited talk <i>Making Robots Learn to Perceive and Act with Understanding</i> at <a href="https://webservices.scientificnet.org/rest/entries/api/v1/blobs/200894">Workshop
+    of learned movements beyond the training distribution, learning of
-    and Open Lab on Field Robotics - Interdisciplinary aspects of
+    symbolic concepts and rules, and structure-driven skill learning
-    robotics and its applications in outdoor scenarios</a>, NOI Techpark, Bolzano, Italy.</td></tr><tr valign="top"><td>2021-05-26</td><td>Justus Piater contributes a talk <i>Intelligente und interaktive Systeme</i> at <a href="http://www.gmar.at/aktuell/">GMAR Robotics Science
+    from sensorimotor experience. Our long-term objective is to
-    Talks</a>, online.</td></tr><tr valign="top"><td>2021-03-24</td><td>Justus Piater gives an invited lecture <i>Machine Learning, Perception, And Abstract Concepts</i> at Invited lecture at Ontario Tech U, Canada, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem6', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem6Abstract" style="display:none">With every spectacular achievement of a machine learning
+    improve abstraction, generalization, robustness, and ultimately
-    system, the long-elusive AI breakthrough is popularly proclaimed
+    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:
-    to be just around the corner.  Most recent successes have been due
+    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
-    in large part to massive data and computation, in particular using
+    Seminar: AI in Law and Practice: Regional Perspectives on European
-    deep artificial neural networks.  But can artificial cognition
+    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 Lieber gleich berechtigt als später: Hallo KI, hilfst du
-    really be achieved just by further scaling up existing
+    uns bei der Gleichstellung?!, Tiroler Bildungsinstitut Grillhof Vill. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem6', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem6Abstract" style="display:none">Künstliche Intelligenz&quot; bezeichnet derzeit Systeme, die
-    machine-learning techniques?  I discuss examples of simple,
+    auf maschinellem Lernen (ML) basieren. Dieser Workshop führt in
-    perceptual problems that are easily solved by humans but very
+    die Grundlagen des ML ein, mit besonderem Augenmerk auf neuronale
-    difficult for today's machine learning methods.  These problems
+    Netze, der derzeit populärsten ML-Technologie. Darauf aufbauend
-    reflect how humans conceptualize their world.  Their mastery is
+    vermittelt er ein Grundverständnis für prinzipielle Möglichkeiten
-    thus likely to be an essential prerequisite for autonomous robots
+    und Grenzen von ML und warum es mit derzeitigen Mitteln extrem
-    to attain higher levels of cognitive abilities.  To get there, a
+    schwierig ist, Diskriminierung in KI-Systemen zu
-    few core issues can be identified that should drive research in
+    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><tr valign="top"><td>2025-01-31</td><td>Justus Piater gives an invited lecture <i>High-Level AI For Autonomous Robots</i> at <a href="https://elias-ai.eu/event/ellis-vismac/">ELIAS-ELLIS-VISMAC
-    cognitive robotics.</blockquote></td></tr><tr valign="top"><td>2021-01-28</td><td>Matteo Saveriano gives an invited talk <i>Making robots to learn from human observation?</i> at <a href="https://www.bmeia.gv.at/en/austrian-embassy-ottawa/news/events/detail/article/showcasing-young-austrian-scholars-and-scientists-an-original-seven-part-virtual-lectures-ser/">Showcasing Young Austrian Scholars and Scientists, Austrian cultural forum, Ottawa</a>, online.</td></tr><tr valign="top"><td>2021-01-14</td><td>Matteo Saveriano gives an invited talk <i>Hierarchical action decomposition and motion learning for the execution of manipulation tasks</i> at <a href="http://www.gmar.at/aktuell/">Hello Tyrol calling! Robotics Talk online, GMAR, Innsbruck</a>, online.</td></tr><tr valign="top"><td>2020-11-19</td><td>Justus Piater gives an invited talk <i>Machine Learning in Robotics</i> at <a href="https://baiome.org/">bAIome PI Talk, Center for
+    Winter School 2025</a>, Brunico, Italy. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem9', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem9Abstract" style="display:none">What barriers will have to be overcome to raise the
-    Biomedical AI, University Medical Center Hamburg-Eppendorf</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem10', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem10Abstract" style="display:none">Machine Learning increasingly equips robots with
+    flexibility and robustness of autonomous robots to the next level?
-    learning capabilities and flexibility.  This will enable them to
+    I argue that current AI methods are unlikely to get there, no
-    act purposefully in unstructured environments and to react to
+    matter how far we scale them up. Robots need to be able to
-    unforeseen events.  People can teach them intuitively to perform
+    &quot;understand&quot; their environment in ways that reach beyond
-    tasks instead of having to program them in painstaking ways.
+    prediction and control. I will discuss examples of work (ours and
-    Robots can learn from experience and can improve their behavior
+    others') on learning visual relational concepts, extrapolation of
-    over time.  In this talk I will give an overview of methods,
+    learned movements beyond the training distribution, learning of
-    opportunities, and challenges of machine learning in
+    symbolic concepts and rules, and structure-driven skill learning
-    robotics.</blockquote></td></tr></table></HTML>
+    from sensorimotor experience.</blockquote></td></tr></table></HTML>
 [[news|Older News]]
@@ Line 81: / Line 84: @@
 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]].

User Tools

Site Tools

Differences

Page Tools