Emre Ugur


Emre is an Associate Professor in Dept. of Computer Engineering, Bogazici University,
the chair of the Cognitive Science MA Program,
the vice-chair of the Dept. of Computer Engineering,
the head of the Cognition, Learning and Robotics (CoLoRs) lab,
received his PhD degree in Computer Engineering from Middle East Technical University (METU, Turkey). He was a research assistant in KOVAN Lab. METU (2003-2009); worked as a research scientist at ATR, Japan (2009-2013); visited Osaka University as a specially appointed Assist.&Assoc. Professor (2015&2016); and worked as a senior researcher in University of Innsbruck (2013-2016). He participated in several projects funded by EU, TUBITAK, and JST. He is currently Principle Investigator of IMAGINE project supported by European Commission, Horizon 2020 Programme; EXO-AI-FLEX project supported by TUBITAK, 1003 program; and DeepSym project supported by TUBITAK, 1001 program. He is interested in robotics, robot learning, cognitive robotics. Google scholar page.

  • IROS 2022 WS! We are organizing IROS 2022 Workshop on Life-long Learning of High-level Cognitive and Reasoning Skills (link).
  • Teaching Award 2021! I have been awarded The Excellence in Teaching Award by the Faculty of Engineering (link).
  • RSS 2021 WS! We are organizing RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control (link).
  • I will give invited talk in ICRA 2021 workshop on "Semantic Representations for Robotics through Continuous Interaction and Incremental Learning" (link).
  • Guest editing "Special Issue on Symbol Emergence in Robotics and Cognitive Systems" in Advanced Robotics (link).
  • BAGEP 2021! I have been awarded The Young Scientist Award by the Science Academy (BAGEP).
  • ICRA 2021! Our paper titled "Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization" is accepted to ICRA 2021 pdf, video.
  • TUBITAK 1001! Our project proposal "Abstract Reasoning with Symbol Discovery and Life-long Learning" has been accepted by TUBITAK-1001 program.
  • CoRL 2020! Our paper titled "ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing" is accepted as oral talk (4%) to CoRL 2020 pdf, video.
  • RSS 2019! Our paper titled "Conditional Neural Movement Primitives" is accepted to RSS 2019! pdf, video.
  • Our work received Best Poster Award in ToRK2019! link

Some Videos: