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 See our [[:|front page]] for the most recent news.
-<HTML><table><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
+<HTML><table><tr valign="top"><td>2023-08-15</td><td>Samuele Tosatto contributes a talk <i>A Continuous-Time Option Framework</i> at <a href="https://www.ias.informatik.tu-darmstadt.de/Workshops/IWIALS2023">International Workshop of Intelligent Autonomous Learning Systems 2023</a>, Hirschegg, Kleinwalsertal, Austria. (Research talk about arXiv:2212.04407)</td></tr><tr valign="top"><td>2023-07-27</td><td>Justus Piater gives an invited talk <i>Wie generiert ChatGPT seine Antworten, und warum sollten
+    wir einen kritischen Blick auf diese bewahren?</i> at <a href="https://www.kreativland.tirol/events/chatgpt-in-der-unternehmenskommunikation/">ChatGPT
+    in der Unternehmenskommunikation</a>, Universität Innsbruck. (Eine gemeinsame Veranstaltung des Public Relations Verbands Austria und digital.tirol)</td></tr><tr valign="top"><td>2023-07-05</td><td>Justus Piater gives an invited talk <i>Möglichkeiten und Grenzen der KI in der Robotik</i> at <a href="https://bodenseegespraeche.org/2023-1.html">Bodenseegespräche
+</a>, Hard bei Bregenz, Austria. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem13', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem13Abstract" style="display:none">Die künstliche Intelligenz hat in letzter Zeit gewaltige
+    Fortschritte gemacht. Sie bietet immer neue Möglichkeiten in der
+    Analyse und Generierung natürlicher Sprache und von Bildern und
+    Video, in der Robotik, sowie in ihren Kombinationen. Im ersten
+    Teil des Vortrags werde ich informell Kerntechnologien aktueller
+    KI vorstellen, um ein Gespür dafür zu vermitteln, wofür sich KI in
+    der Robotik mittelfristig einsetzen lassen wird. Anschließend
+    werde ich Grenzen der aktuellen KI charakterisieren und einige
+    Beispiele aus der Forschung beschreiben, die darauf abzielen,
+    diese Grenzen zu erweitern.</blockquote></td></tr><tr valign="top"><td>2023-06-05</td><td>Justus Piater gives an invited talk <i>Generative Künstliche Intelligenz</i> at <a href="https://www.uibk.ac.at/de/foerderkreis1669/aktuelles/forum-forderkreis-1669/">Forum Förderkreis 1669</a>, online.</td></tr><tr valign="top"><td>2023-05-29</td><td>Samuele Tosatto contributes a talk <i>Temporal Abstraction via Variable Decision Frequency</i> at <a href="https://sites.google.com/view/rap4robots">Workshop on effective Reresentations, Abstractions, and Priors for Robot Learning (ICRA Workshop)</a>, ExCeL London. (Research talk about arXiv:2212.04407)</td></tr><tr valign="top"><td>2023-05-25</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz &amp; ChatGPT: Möglichkeiten und
+    Grenzen in der Hochschullehre</i> at <a href="https://www.i-med.ac.at/itservices/aktuell/ki-chatgpt.pdf">Digitales
+    Lehren und Lernen</a>, Medizinische Universität Innsbruck und online. (Informations- und Diskussionsveranstaltung für Bedienstete und Studierende)</td></tr><tr valign="top"><td>2023-05-23</td><td>Justus Piater gives an invited talk <i>Robot Learning – von Imitation bis Kognition</i> at <a href="https://www.ove.at/ove-academy/seminare/detail/ove-it-kolloquium-maschinelles-lernen-aktuelle-entwicklungen-und-moegliche-anwendungsbereiche/">OVE-IT-Kolloquium:
+    Maschinelles Lernen</a>, OVE, Wien, und online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem17', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem17Abstract" style="display:none">Maschinelles Lernen hat vielfältige Anwendungen in der
+    Robotik. Roboter können lernen, Trajektorien abzufahren, auf
+    Effekte und äußere Ereignisse zu reagieren, Objekte zu erkennen
+    und zu manipulieren. In die Praxis halten diese Entwicklungen
+    jedoch nur langsam Einzug. Warum ist das so? Ich argumentiere,
+    dass Robotern - und heutigen KI-Systemen allgemein - echtes
+    Verständnis für ihre Umgebung fehlt, mit der sie über
+    Datenaustausch interagieren. Dies werde ich anhand einiger
+    Beispiele aus unserer Forschung illustrieren, mit der wir
+    versuchen, das Verständnis von Robotern für ihre Umgebung zu
+    erhöhen.</blockquote></td></tr><tr valign="top"><td>2023-05-11</td><td>Simon Haller-Seeber, Patrick Hofmann, and Christopher Kelter teach a tutorial <i>STAIR Lab Workshop: Programmieren eines autonomen Roboters anhand einer selbstentwickelten KI</i> at INNALP Workshop für die NMS Hötting West, Universität Innsbruck.</td></tr><tr valign="top"><td>2023-05-04</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.uibk.ac.at/congress/bibliothek2023/programm/abstracts-donnerstag-nachmittag/bibliotheken-und-ki.html">Künstliche
+    Intelligenz (KI) in Bibliotheken</a>, Congress Innsbruck. (Podiumsdiskussion am 1. Österreichischen Bibliothekskongress 2023)</td></tr><tr valign="top"><td>2023-03-29</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>2023-01-21</td><td>Justus Piater appears in the media: <a href="https://www.diepresse.com/6240937/auch-ein-roboter-muss-hoeflich-sein">Auch ein Roboter muss höflich sein</a>. (Interview by Die Presse (in German))</td></tr><tr valign="top"><td>2022-12-19</td><td>Marko Zaric and Simon Haller-Seeber teach a tutorial <i>Einführung in die Programmierung mit dem BBC Micro:Bit</i> at Campustag NMS Hötting, Universität Innsbruck.</td></tr><tr valign="top"><td>2022-12-06</td><td>Justus Piater, Matteo Saveriano, Hector Villeda, and Erwan Renaudo appear in the media: <a href="https://diglib.uibk.ac.at/ZuFo/periodical/pageview/8251030">Schritt
+    für Schritt</a>. (Zukunft Forschung – Das Magazin für Wissenschaft und Forschung der Universität Innsbruck 2 (2022)) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem24', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem24Abstract" style="display:none">Justus Piater lehrt seinem Roboter das Lernen – mit
+    Erfolg. So lernte der Roboter, wie sich  Objekte bewegen, wenn er
+    sie anschubst, und wie er diese stapeln kann. Nun soll er sich aus
+    gelernten Bewegungen neue erschließen und mit dem Menschen
+    interagieren lernen.</blockquote></td></tr><tr valign="top"><td>2022-12-01</td><td>Justus Piater, Erwan Renaudo, and Matthias Schurz appear in the media: <a href="https://innovationorigins.com/de/mithilfe-der-psychologie-forscher-wollen-robotern-soziale-faehigkeiten-beibringen/">Mithilfe
+    der Psychologie: Forscher wollen Robotern soziale Fähigkeiten
+    beibringen</a>. (Interview by Innovation Origins) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem25', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem25Abstract" style="display:none">Nachhaltigkeit - Wenn Roboter in menschlichen Umgebungen
+    arbeiten, dann brauchen Sie soziale Fähigkeiten. Forscher wollen
+    es ihnen beibringen und dabei das tatsächliche Lernverhalten von
+    Menschen nachbilden.</blockquote></td></tr><tr valign="top"><td>2022-11-17</td><td>Simon Haller-Seeber gives an invited talk <i>STAIR-Lab Workshop One and Outlook</i> at <a href="https://innalp.at/">INNALP Education Hub Beiratssitzung</a>, Universität Innsbruck.</td></tr><tr valign="top"><td>2022-07-21</td><td>Justus Piater appears in the media: <a href="https://www.makademia.at/es-regnet-weil-menschen-die-schirme-aufspannen-warum-wir-noch-keine-allzu-grosse-angst-vor-kuenstlicher-intelligenz-haben-muessen/">„Es
+    regnet, weil Menschen die Schirme aufspannen“ – warum wir (noch)
+    keine allzu große Angst vor künstlicher Intelligenz haben
+    müssen</a>. (Makademia - Forschung einfach geknackt)</td></tr><tr valign="top"><td>2022-06-14</td><td>Justus Piater co-organizes the <a href="https://roboticsworkshop.at/">Austrian Robotics
+    Workshop</a>.</td></tr><tr valign="top"><td>2022-06-10</td><td>Simon Haller-Seeber, Patrick Hofmann, and Thomas Gatterer 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>2022-06-02</td><td>Erwan Renaudo contributes a talk <i>Deep Learning for Fast Segmentation of E-waste Devices’
+    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('newsitem34', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem34Abstract" style="display:none">Recycling obsolete electronic devices (E-waste) is a
+    dangerous task for human workers. Automated E-waste recycling
+    is an area of great interest but challenging for current robotic
+    applications. We focus on the problem of segmenting inner parts
+    of E-waste devices into manipulable elements. First, we extend
+    a dataset of hard-drive disk (HDD) components with labelled
+    occluded and non-occluded points of view of the parts, in order
+    to increase the diversity and the quality of the learning data
+    with different angles. We then perform an extensive evaluation
+    with three different state-of-the-art models, namely CenterMask,
+    BlendMask and SOLOv2 (including variants) and two types of
+    metrics: the average precision as well as the frame rate. Our
+    results show that instance segmentation using state-of-the-art
+    deep learning methods can precisely detect complex shapes along
+    with their boundaries, as well as being suited for fast tracking of
+    parts in a robotic recycling system. (Rojas et  al. 2022)
+    </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
+    Tirol Podcast (in German)</a>. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem35', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem35Abstract" style="display:none">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.</blockquote></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('newsitem37', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem37Abstract" style="display:none">In the design of &quot;Cognitive Robots&quot; software architectures,
+    researchers had to face many organizational problems due to
+    the particular nature of robots. Not only should they manage
+    to achieve complex tasks with long-term goals, but they must
+    also be reactive to their surroundings to preserve their environment.
+    We will go over several layered control paradigms developed over
+    the history of robotics and see how these can relate to the
+    knowledge about the Octopus' brain organization, and discuss
+    how the Octopus itself can inspire cognitive robotic research.
+    </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
+    Science</a>, Innsbruck. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem38', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem38Abstract" style="display:none">Wouldn't it be great to have a helper robot that we can
+    task with our annoying chores? How would we teach the robot to
+    perform these tasks? Can we build such robots by equipping them
+    with artificial intelligence? We will discuss how human and
+    machine learning differ and how this impacts what skills,
+    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
+    Machines</i> at <a href="https://www.philosophie.uni-konstanz.de/ag-mueller/online-workshop-on-agency-life-and-creativity/">Workshop
+    on “Agency, Life, and Creativity”</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem40', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem40Abstract" style="display:none">Humans constantly engage in creative activity such as
+    finding explanations, improving technology, or solving novel
+    problems in everyday life. Even imitating other humans, e.g. while
+    learning a new skill, is creative in that the imitator has to
+    infer the conceptual structure underlying the observed
+    manifestation and to regenerate the latter from the former. In
+    contrast, current AI-enabled agents are unable to generate and
+    draw upon such conceptual structures. Their learning is mostly
+    driven by statistics, and any ability to produce novelty is
+    largely limited to trial and error. I will try to characterize
+    this fundamental difference between learning in human and
+    artificial agents, and will discuss possible technological
+    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
+    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
+    Bedarfserweckung?</i> at <a href="https://medical-update-hall.com/veranstaltungen/">Medical
+    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('newsitem43', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem43Abstract" style="display:none">Growing data processing capacities and progress in
+    analytical methods and artificial intelligence are motivating
+    entire branches of science to raise new questions and to develop
+    new approaches. This digital transformation requires progressive,
+    interdisciplinary synergies between the computational sciences and
+    all other scientific disciplines.  The Digital Science Center
+    (DiSC) at the University of Innsbruck meets this challenge by
+    integrating and promoting digitalisation of scientific research.
+    In this talk I will present some examples of interdisciplinary
+    research by DiSC staff researchers who are experts in specific
+    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><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
     and Open Lab on Field Robotics - Interdisciplinary aspects of
     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
-    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('newsitem12', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem12Abstract" style="display:none">With every spectacular achievement of a machine learning
+    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('newsitem47', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem47Abstract" style="display:none">With every spectacular achievement of a machine learning
     system, the long-elusive AI breakthrough is popularly proclaimed
     to be just around the corner.  Most recent successes have been due
@@ Line 20: / Line 130: @@
     few core issues can be identified that should drive research in
     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
-    Biomedical AI, University Medical Center Hamburg-Eppendorf</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem16', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem16Abstract" style="display:none">Machine Learning increasingly equips robots with
+    Biomedical AI, University Medical Center Hamburg-Eppendorf</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem51', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem51Abstract" style="display:none">Machine Learning increasingly equips robots with
     learning capabilities and flexibility.  This will enable them to
     act purposefully in unstructured environments and to react to
@@ Line 32: / Line 142: @@
     (HFR 2020)</a>.</td></tr><tr valign="top"><td>2020-09-30</td><td>Erwan Renaudo contributes a talk <i>ROSSINI: RobOt kidS deSIgn thiNkIng</i> at <a href="https://www.springer.com/gp/book/9783030674106">Robotics in
     Education 2020</a>, online.</td></tr><tr valign="top"><td>2020-06-22</td><td>Justus Piater gives an invited talk <i>Conditional Neural Movement Primitives</i> at <a href="http://www.gdr-isis.fr/index.php?page=reunion&amp;idreunion=424">GdR
-    ISIS Réunion Apprentissage et Robotique</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem20', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem20Abstract" style="display:none">Conditional Neural Movement Primitives (CNMP) constitute
+    ISIS Réunion Apprentissage et Robotique</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem55', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem55Abstract" style="display:none">Conditional Neural Movement Primitives (CNMP) constitute
     a novel framework for robot programming by demonstration based on
     Conditional Neural Processes (CNP).  Like Bayesian methods such as
@@ Line 48: / Line 158: @@
     applications.</blockquote></td></tr><tr valign="top"><td>2020-06-03</td><td>Justus Piater appears in the media: Wie der Roboter denken lernt. (Newspaper article in Tiroler Tageszeitung)</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
     „Primers for Predocs – Strategien für eine erfolgreiche
-    Promotion“</a>, Universität Heidelberg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem23', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem23Abstract" style="display:none">Massive availability of data and computing power are
+    Promotion“</a>, Universität Heidelberg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem58', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem58Abstract" style="display:none">Massive availability of data and computing power are
     promoting data-driven methods in all areas of science and
     technology.  I will describe how the University of Innsbruck
@@ Line 57: / Line 167: @@
     Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series
     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
-    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('newsitem28', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem28Abstract" style="display:none">A fundamental task of sensory processing is to detect
+    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('newsitem63', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem63Abstract" style="display:none">A fundamental task of sensory processing is to detect
     and integrate feature items to group them into perceptual units
     segregating them from other objects and the background. A
@@ Line 79: / Line 189: @@
     architecture composed of canonical circuit mechanisms can be
     mapped onto neuromorphic chip technology facilitating low-energy
-    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('newsitem29', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem29Abstract" style="display:none">Humanoid robotics plays a central role in robotics
+    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('newsitem64', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem64Abstract" style="display:none">Humanoid robotics plays a central role in robotics
     research as well as in understanding intelligence. Engineering
     humanoid robots that are able to learn from humans and
@@ Line 104: / Line 214: @@
     (eco.nova, in German)</a>. (Comprehensive interview article (6 pages) on artificial intelligence in eco.nova, a nationwide magazine covering trends in economy, science, architectur, health &amp; wellness, tax, law, dining and lifestyle)</td></tr><tr valign="top"><td>2019-10-10</td><td>IIS guest <span style="font-weight:bold">Georg Martius</span>, Max Planck Institute for Intelligent Systems,
     Tübingen,  gives an invited colloquium <i>Control What You Can – Intrinsically Motivated
-    Hierarchical RL</i> at IIS Colloquium. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem39', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem39Abstract" style="display:none">I will present present a hierarchical reinforcement
+    Hierarchical RL</i> at IIS Colloquium. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem74', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem74Abstract" style="display:none">I will present present a hierarchical reinforcement
     learning agent that is intrinsically motivated to learn how to
     control its observation space in the fastest possible manner by
@@ Line 117: / Line 227: @@
     scratch.</blockquote></td></tr><tr valign="top"><td>2019-10-10</td><td>IIS guest <span style="font-weight:bold">Georg Martius</span>, Max Planck Institute for Intelligent Systems,
     Tübingen,  gives an invited colloquium <i>Self-Organization of Behavior in Autonomous Robot
-    Development</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('newsitem40', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem40Abstract" style="display:none">I am studying the question how robots can autonomously
+    Development</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('newsitem75', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem75Abstract" style="display:none">I am studying the question how robots can autonomously
     develop skills.  Considering children, it seems natural that they
     have their own agenda. They explore their environment in a playful
@@ Line 159: / Line 269: @@
     article (Der Standard) following interview</a>.</td></tr><tr valign="top"><td>2018-10-05</td><td>Justus Piater gives an invited talk <i>Perception of Abstract Concepts</i> at <a href="http://iros2018-uvsp.org/">Unconventional Sensing and
     Processing for Robotic Visual Perception</a>, Madrid, Spain. (Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems)</td></tr><tr valign="top"><td>2018-09-21</td><td>Justus Piater gives an invited talk <i>Concept Learning For Robot Intelligence</i> at <a href="https://www.uibk.ac.at/congress/quantum-machine-learning-plus/index.html.en">Conference
-    on Quantum Machine Learning Plus</a>, Innsbruck, Austria. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem70', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem70Abstract" style="display:none">Current robot learning, and machine learning in general,
+    on Quantum Machine Learning Plus</a>, Innsbruck, Austria. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem105', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem105Abstract" style="display:none">Current robot learning, and machine learning in general,
     requires carefully-engineered setups (environments, objective
     functions, training data, etc.) for learning to succeed.
@@ Line 176: / Line 286: @@
     Robotics</a>.</td></tr><tr valign="top"><td>2018-06-30</td><td>Justus Piater gives an invited talk <i>Objects, Parts, Functions, Affordances, Actions, and Tasks</i> at <a href="https://afford.gitlab.io/rss-workshop/">1st
     International Workshop on Computational Models of Affordance in
-    Robotics</a>, Pittsburgh, PA, USA. (Workshop at the Robotics: Science and Systems conference) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem75', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem75Abstract" style="display:none">Human-made objects are constructed with functional
+    Robotics</a>, Pittsburgh, PA, USA. (Workshop at the Robotics: Science and Systems conference) <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem110', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem110Abstract" style="display:none">Human-made objects are constructed with functional
     parts.  These are closely related to affordances; e.g., a handle
     is a part whose function is to be grasped and that affords

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