Making robots learn to perceive and act with understanding

At IIS we enable autonomous robots to perceive and act flexibly and robustly in unstructured environments, leveraging machine learning methods to build perceptual, motor and reasoning skills.

We seek to answer the question: How can we enable robots to acquire the knowledge and understanding they require to interact sensibly with unstructured environments?

Our research addresses complete perception-action loops, from computer vision to grasping and manipulation, using reactive algorithms and/or cognitive models. Much of our work uses machine learning to enable robots to synthesize and improve complex and robust sensorimotor behavior with experience. Related areas of interest include human-robot interaction, image and video analysis, and visual neuroscience.

• We are hiring an Assistant Professor (with Tenure-Track Option) of Computer Science in Embodied Artificial Intelligence and Machine Learning. Applications must be received by August 29, 2018.

• Check our thesis topics for Bachelor and Master students.

Group picture taken at our retreat in Obergurgl

Older News

===== Postal Address =====<tr valign=“top”><td>2018-07-03</td><td>Simon Haller teaches a tutorial <i>Wie kann ein Roboter lernen, die Welt zu verstehen?</i>, Campustag BORG Schwaz, Universität Innsbruck.</td></tr></table></HTML>

Older News

===== Postal Address =====<tr valign=“top”><td>2018-06-30</td><td>Philipp Zech, Barry Ridge, and Emre Ugur co-organize the <a href=“https://afford.gitlab.io/rss-workshop/”>1st

  International Workshop on Computational Models of Affordance in
  Robotics</a>.</td></tr></table></HTML>

Older News

University of Innsbruck
Department of Computer Science
Technikerstr. 21a
6020 Innsbruck
Austria

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