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IIS Webadmin
start [2022/05/20 06:25] (current)
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>​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('​newsitem1', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem1Abstract" 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 workersAutomated 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 +    ​applicationsWe focus on the problem of segmenting inner parts  
-    ​tasks instead ​of having to program them in painstaking ways+    of E-waste devices into manipulable elementsFirst, we extend ​ 
-    ​Robots can learn from experience ​and can improve their behavior +    ​a 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: sneak peek into the Black-Box</i> at <a href="​https://​​amp;​t=17m43s">Science Slam</​a>, ​online.</​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://​​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 models, namely CenterMask
-    ​ISIS Réunion Apprentissage et Robotique</a>, online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem4', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem4Abstract" style="​display:​none">​Conditional Neural Movement Primitives (CNMP) constitute +    ​BlendMask ​and SOLOv2 (including variants) and two types of  
-    ​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://​​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 OctopusInternational 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 robotsNot 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://​">Pint of 
-    Promotion“</​a>, ​Universität Heidelberg. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem7', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem7Abstract" 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 Intelligenz:​ Grundlagen, Erfolge, +    machine learning differ and how this impacts what skills, 
-    Herausforderungen</i> at 47. Tagung des Innsbrucker Kreises von MoraltheologInnen +    including for communication,​ our helper robot will be able to 
-    und SozialethikerInnen,​ Innsbruck.</​td></​tr><​tr valign="​top"><​td>​2019-12-19</​td><​td>​Justus Piater appears in the media: ​<a href="​https://​​14610743">TV interview by ORF 2 Tirol Heute RedHaus (in German)</​a>​.</​td></​tr><​tr valign="​top"><​td>​2019-12-12</​td><​td>​Justus Piater ​gives an invited lecture ​<i>Too Smart to Be Trusted – Do I Even Want to +    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 
-    Understand My Robot?</i> at <a href="​http://​">TrustRobots Lecture series +    Machines</i> at <a href="​ag-mueller/​online-workshop-on-agency-life-and-creativity/">Workshop 
-    ​Trust in Robots</​a>, ​TU Vienna.</​td></​tr></​table></​HTML>​+    ​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 explanations,​ improving technology, or solving ​novel 
 +    ​problems in everyday lifeEven imitating other humanse.g. while 
 +    ​learning a new skillis 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 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://​">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://​">GMAR Robotics Science 
 +    ​Talks</​a>, ​online.</​td></​tr></​table></​HTML>​
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