Finalist for the ICAR’17 Best Paper Award

Finalist for the ICAR'17 Best Paper Award

Congratulations to Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner and Michael Beetz. Their article "Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks" was selected as a finalist for the best paper award at the IEEE International Conference on Advanced Robotics (ICAR). Ferenc is a research associate at the Institute for Artificial Intelligence and candidate for a doctoral degree under the supervision of Michael Beetz at the University of Bremen."

EASE presentations @ ICRA 2017

EASE presentations @ ICRA 2017

We are happy to announce three accepted papers at this year's ICRA conference in Singapore, 29.05.17-02.06.17:

  • A Cloud Service for Robotic Mental Simulations, Asil Kaan Bozcuoğlu, Michael Beetz (Session WeA4.2, 09:35–09:40)
  • Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz (Session WeC11.3, 14:40–14:45)
  • What No Robot Has Seen Before – Probabilistic Interpretation of Natural-language Object Descriptions, Daniel Nyga, Mareike Picklum, Michael Beetz, (Session WeC11.4, 14:45-14:50)

Michael Beetz is also an invited speaker at the workshop on AI Planning and Robotics: Challenges and Methods. He will give a talk on Robot planning for the mastery of human-scale everyday manipulation tasks on Monday, May 29, 13:30-14:00.

Finalist for the Best WBC-Paper Award

Finalist for the Best WBC-Paper Award

Congratulations to Daniel Leidner, Alexander Dietrich, Alin Albu-Schaeffer, and Michael Beetz. Their article "Knowledge-enabled parameterization of whole-body control strategies for compliant service robots" published in Autonomous Robots, 40(3):519-536, 2016 has been selected by the IEEE RAS Technical Committee on Whole-Body Control Awards 2016 as a finalist for the Best WBC-Paper Award. Daniel is a research associate at the DLR Robotics and Mechatronics Institute in Oberpfaffenhofen and candidate for a doctoral degree in the AI Institute at the University of Bremen. All co-authors are involved in the EASE project R4 "Specializing and optimizing generic robot plans"