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IIS Webadmin
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IIS Webadmin
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 ===== Working With Us ===== ===== Working With Us =====
 +  * We are hiring [[jobs|two doctoral students]] in machine learning for computer vision or robotics.
   * Check our thesis topics for [[theses/​start|Bachelor and Master students]].   * Check our thesis topics for [[theses/​start|Bachelor and Master students]].
-  ​* [[https://​​|ELLIS]] PhD Program: [[https://​​news/​ellis-phd-program-call-for-applications|Call for Applications]]+ <​html><​!-- 
 + * [[https://​​|ELLIS]] PhD Program: [[https://​​news/​ellis-phd-program-call-for-applications-deadline-november-15-2021|Call for Applications]] 
 <​html><​!-- <​html><​!--
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 ===== News ===== ===== News =====
-<​HTML><​table><​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://​​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 <href="​http://​​aktuell/">​Hello Tyrol calling! Robotics Talk onlineGMARInnsbruck</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 PI Talk, Center for +<​HTML><​table><​tr valign="​top"><​td>​2022-06-02</​td><​td>​Erwan Renaudo contributes a talk <i>Deep Learning for Fast Segmentation of E-waste Devices’  
-    Biomedical AI, University Medical Center Hamburg-Eppendorf</​a>, ​online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem3', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem3Abstract" style="​display:​none">​Machine Learning increasingly equips robots with +    Inner Parts in a Recycling Scenario</i> at <a href="​https://​">ICPRAI 2022</​a>, ​Paris/online. <span class="​actions"​><a href="javascript:​void(0)"​ onclick="​showHide('​newsitem0',​ '​Abstract'​)">[Abstract]</a></span><blockquote id="​newsitem0Abstract"​ style="​display:​none"​>Recycling obsolete electronic devices (E-waste) is a 
-    ​learning capabilities and flexibility. ​ This will enable them to +    dangerous task for human workers. Automated E-waste recycling  
-    ​act purposefully in unstructured environments and to react to +    is an area of great interest but challenging ​for current robotic  
-    ​unforeseen events. ​ People can teach them intuitively ​to perform +    applications. We focus on the problem ​of segmenting inner parts  
-    ​tasks instead of having ​to program them in painstaking ways+    of E-waste devices into manipulable elements. First, we extend  
-    ​Robots can learn from experience and can improve their behavior +    ​dataset of hard-drive disk (HDD) components with labelled  
-    ​over time.  In this talk I will give an overview ​of methods, +    occluded and non-occluded points of view of the parts, in order  
-    ​opportunities, and challenges of machine learning in +    to increase the diversity and the quality of the learning data  
-    ​robotics.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2020-11-20</​td><​td>​Simon Haller-Seeber and Patrick Lamprecht present a show <i>Explainable AI: A sneak peek into the Black-Box</i> at <a href="​https://​​v=4NVfPwdLnCg&​amp;​t=17m43s">​Science ​Slam</​a>, ​online.</td></​tr><​tr valign="top"><​td>​2020-09-30</td><​td>​Erwan Renaudo contributes ​talk <i>ROSSINI: RobOt kidS deSIgn thiNkIng</iat <a href="https://​​gp/​book/​9783030674106">Robotics in  +    with different anglesWe then perform an extensive evaluation  
-    ​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="​page=reunion&​amp;​idreunion=424">GdR +    with three different state-of-the-art modelsnamely CenterMask, 
-    ​ISIS Réunion Apprentissage et Robotique</a>, online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem6', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem6Abstract" style="​display:​none">​Conditional Neural Movement Primitives (CNMP) constitute +    BlendMask and SOLOv2 (including variants) and two types of  
-    a novel framework for robot programming by demonstration based on +    metrics: the average precision as well as the frame rate. Our  
-    Conditional Neural Processes (CNP). ​ Like Bayesian methods ​such as +    results show that instance segmentation using state-of-the-art  
-    ​Gaussian Processes (GP)CNP learn how target distributions depend +    deep learning methods can precisely detect complex shapes along  
-    ​on dataand can be conditioned on specific data points to infer +    with their boundaries, as well as being suited for fast tracking of 
-    new target distributions at test time.  Unlike GP that are +    parts in a robotic recycling system. (Rojas et  al. 2022) 
-    ​expensive to train and scale poorly to high dimensions, CNP are +    ​</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://​​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('​newsitem1', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem1Abstract" style="​display:​none">​In the design of &​quot;​Cognitive Robots&​quot;​ software architectures, ​ 
-    ​neural networks ​and are trained by gradient descent CNMP +    ​researchers had to face many organizational problems due to  
-    ​leverage CNP to represent motion trajectories that can be +    ​the particular nature of robots. Not only should they manage ​ 
-    ​conditioned,​ at test time, on task paramters ​such as goal +    to achieve complex tasks with long-terms goals, but they must  
-    ​locations, via points, and/or force readings ​Moreover,​ CNMP are +    ​also be reactive ​to their surroundings to preserve their environment
-    ​conditioned on sensor readings during execution, resulting ​in +    ​We will go over several layered control paradigms developed over 
-    ​robustreactive behavior. ​ This talk will present an overview of +    ​the history ​of robotics and see how these can relate to the  
-    ​how CNMP work and how they can be used in various robot +    ​knowledge about the Octopus'​ brain organization, and discuss ​ 
-    applications.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2020-06-03</​td><​td>​Justus Piater ​appears ​in the media: Wie der Roboter denken lernt.</​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://​">Vortragsreihe +    ​how the Octopus itself can inspire cognitive robotic research. 
-    ​„Primers for Predocs ​– Strategien ​für eine erfolgreiche +    ​</​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://​​innsbruck">Pint of 
-    Promotion“</​a>, ​Universität Heidelberg. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem9', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem9Abstract" style="​display:​none">​Massive availability of data and computing power are +    ​Science</​a>, ​Innsbruck. <span class="​actions"​><a href="javascript:​void(0)"​ onclick="​showHide('​newsitem2',​ '​Abstract'​)">[Abstract]</​a></​span><blockquote id="newsitem2Abstract"​ style="​display:none">Wouldn'​t it be great to have a helper robot that we can 
-    ​promoting data-driven ​methods ​in all areas of science and +    ​task with our annoying chores? How would we teach the robot to 
-    ​technology.  ​I will describe how the University of Innsbruck +    perform these tasks? Can we build such robots by equipping them 
-    ​supports this via its new Digital Science Center, ​and will give a +    with artificial intelligence?​ We will discuss how human and 
-    ​flavor ​of machine learning for data analysis.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2020-01-20</​td><​td>​Joanna Chimiak-Opoka,​ Carina König, and Justus Piater ​appear in the media: ​<a href="​https://​​newsroom/">Ergänzung Digital Science erfolgreich gestartet – UIBK Newsroom</​a>​.</​td></​tr><​tr valign="​top"><​td>​2020-01-03</​td><​td>​Justus Piater ​gives an invited talk <i>Künstliche IntelligenzGrundlagen, Erfolge, +    machine learning differ and how this impacts what skills, 
-    ​Herausforderungen</i> at 47Tagung des Innsbrucker Kreises von MoraltheologInnen +    including for communication,​ our helper robot will be able to 
-    ​und SozialethikerInnenInnsbruck.</​td></​tr></​table></​HTML>​+    learn.</blockquote></​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="​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('​newsitem3', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem3Abstract" style="​display:​none">​Humans constantly engage in creative activity ​such as 
 +    ​finding explanationsimproving technology, or solving novel 
 +    ​problems in everyday life. Even imitating other humanse.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 formerIn 
 +    ​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 errorI will try to characterize 
 +    ​this fundamental difference between learning ​in human and 
 +    ​artificial agentsand 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://​​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 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('​newsitem6', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem6Abstract" 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 ​contributes a lecture <​i>​Picking and Placing</​i>​ at <a href="​https://​​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://​​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://​​aktuell/">​GMAR Robotics Science 
 +    ​Talks</​a>​online.</​td></​tr></​table></​HTML>​
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