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   * Check our thesis topics for [[theses/start|Bachelor and Master students]].
+<html><!--
 //Bachelor students://{{ ::mobile-manipulator-crop.jpg?nolink&100|}} **Want to create artificial intelligence for autonomous robots?** Want to join our [[@/uibk/piater/courses/RC_Poster2.pdf |interdisciplinary LFUI team]] to compete in the 2020 [[https://www.robocup.org/leagues/16|RoboCup@Work]] competition? Take the [[https://lfuonline.uibk.ac.at/public/lfuonline_lv.details?sem_id_in=19W&lvnr_id_in=703135|Introduction to Robotics]] course in the winter semester 2019-20!
+--></html>
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 ===== News =====
-<HTML><table><tr valign="top"><td>2020-03-19</td><td>Justus Piater gives an invited talk <i>Machine Learning in Robotics</i> at <a href="https://baiome.org/">bAIome PI Talk</a>, Center for Biomedical AI at the University Medical Center
+<HTML><table><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
-    Hamburg-Eppendorf. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Machine Learning increasingly equips robots with
+    ISIS Réunion Apprentissage et Robotique</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Conditional Neural Movement Primitives (CNMP) constitute
-    learning capabilities and flexibility.  This will enable them to
+    a novel framework for robot programming by demonstration based on
-    act purposefully in unstructured environments and to react to
+    Conditional Neural Processes (CNP).  Like Bayesian methods such as
-    unforeseen events.  People can teach them intuitively to perform
+    Gaussian Processes (GP), CNP learn how target distributions depend
-    tasks instead of having to program them in painstaking ways.
+    on data, and can be conditioned on specific data points to infer
-    Robots can learn from experience and can improve their behavior
+    new target distributions at test time.  Unlike GP that are
-    over time.  In this talk I will give an overview of methods,
+    expensive to train and scale poorly to high dimensions, CNP are
-    opportunities, and challenges of machine learning in
+    neural networks and are trained by gradient descent.  CNMP
-    robotics.</blockquote></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
+    leverage CNP to represent motion trajectories that can be
+    conditioned, at test time, on task paramters such as goal
+    locations, via points, and/or force readings.  Moreover, CNMP are
+    conditioned on sensor readings during execution, resulting in
+    robust, reactive behavior.  This talk will present an overview of
+    how CNMP work and how they can be used in various robot
+    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://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('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" 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('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" 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 45: / Line 54: @@
     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('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" 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('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" 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 67: / Line 76: @@
     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('newsitem8', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem8Abstract" 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('newsitem9', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem9Abstract" 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 83: / Line 92: @@
     learning actions from human observation and experience as well as
     reasoning about object-action relations.</blockquote></td></tr><tr valign="top"><td>2019-11-25</td><td>Justus Piater gives an invited talk <i>Enabling Robots to Learn Abstract Concepts</i> at <a href="https://tricolore.inf.unibz.it/tricolore2019/program/">TriCoLore
-    – Creativity | Cognition | Computation</a>, Bolzano, Italy.</td></tr><tr valign="top"><td>2019-11-18</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz in einer menschlichen
+    – Creativity | Cognition | Computation</a>, Bolzano, Italy.</td></tr></table></HTML>
-    Gesellschaft</i> at Robotik in Medizin und Pflege – Jubiläumssymposium
-    des Klinischen Ethikkommittees, A.ö. Landeskrankenhaus – Universitätskliniken
-    Innsbruck.</td></tr></table></HTML>
 [[news|Older News]]

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